SciPy 2018 Conference Presenters

Tutorial Presenters

See the tutorial schedule here.

Hannah Aizenman
City University of New York
 
Dani Arribas-Bel
University of Liverpool
Dani Arribas-Bel is Lecturer in Geographic Data Science and member of the Geographic Data Science Lab at the University of Liverpool (UK). Dani is interested in understanding cities as well as in the quantitative and computational methods required to leverage the power of the large amount of urban data increasingly becoming available. He is also part of the team of core developers of PySAL, the open-source library written in Python for spatial analysis. Dani regularly teaches Geographic Data Science and Python courses at the University of Liverpool and has designed and developed several workshops at different levels on spatial analysis and econometrics, Python and open source scientific computing.
 
Tom Augspurger
Anaconda, Inc.
Tom is a data scientist and software developer for Anaconda. He's a maintainer of pandas and dask. As a graduate student in economics, he taught statistics to undergraduate business students. Tom has taught pandas tutorials at PyData Seattle, Chicago, and New York, and for O'Reilly Media's Live Online Training.
 
Christopher Ball
Anaconda, Inc.
 
Chris Barker
NOAA
 
Dana Bauer
Planet
Dana is a geographer, programmer, and Developer Experience team lead at Planet, where she builds tools and products for developer communities.
 
James A. Bednar
Anaconda, Inc.
Dr. Jim Bednar is a Senior Solutions Architect at Anaconda, Inc. Dr. Bednar holds a Ph.D. in Computer Science from the University of Texas, along with degrees in Electrical Engineering and Philosophy. He has published more than 50 papers and books about the visual system and about software development. Dr. Bednar manages the open source Python projects PyViz, Datashader, HoloViews, GeoViews, Param, Colorcet, and ImaGen. Before Continuum, Dr. Bednar was a lecturer and researcher in Computational Neuroscience at the University of Edinburgh, Scotland, as well as a software and hardware engineer at National Instruments.
 
Hugo Bowne-Anderson
DataCamp
Hugo is a data scientist at DataCamp, a data science training company educating over 2 million learners worldwide through interactive courses on the use of Python, R, SQL, Git and Bash in a data science context. He has spearheaded the development of over 25 courses in DataCamp’s Python curriculum, impacting 170,000 learners worldwide through his own courses. Hugo earned his PhD in Mathematics from the University of New South Wales, Australia and has conducted biomedical research at the Max Planck Institute in Germany and Yale University, New Haven.
 
Maarten Breddels
Kapteyn Astronomical Institute, University of Groningen
Maarten Breddels is a Postdoctoral Researcher at the Kapteyn Astronomical Institute, University of Groningen (RUG), Netherlands. He earned a bachelor in Information Technology, and a bachelor, master and PhD in Astronomy. Maarten has experience in low level languages as assembly and C, to higher level languages such as C++ to Java, Javascript and Python. His PhD research was on the field of galactic dynamics. He is now working for the Gaia mission, combing astronomy and IT, to enable visualization and exploration of the large dataset this satellite will yield. Through the work on ipyvolume he has become one of the ipywidgets developers.
 
Matthias Bussonnier
Jupyter/Ipython, University of California, Berkeley
Matthias is a member of the core IPython/Jupyter developer team. He also works full time for a postdoc on at the University of California, Berkeley. Matthias is working on integrating the notebook front end with real time collaboration tools like Google Drive to allow users to collaboratively edit notebook documents.
 
Alexandre Chabot-LeClerc
Enthought
Alexandre Chabot-Leclerc is a Python trainer and developer at Enthought. He holds a Ph.D. in Electrical Engineering from the Technical University of Denmark. His graduate research was in the field of hearing research, where he developed models of human speech perception. Alexandre's interests include teaching, psychoacoustics, and rock climbing.
 
Roberto Colistete Jr
Federal University of Espirito Santo, Brazil
Physicist in theoretical Physics (Gravitation and Cosmology). Scientific Python teacher in university courses. Working with MicroPython on Physical Computing. Developer of mobile OS softwares using scientific Python.
 
Sylvain Corlay
QuantStack
Sylvain Corlay is an applied mathematician specializing in stochastic analysis and optimal control. He holds a PhD in applied mathematics from University Paris VI. As an open source developer, Sylvain contributes to Project Jupyter in the area of interactive widgets for the notebook, and is steering committee member of the Project. Besides Jupyter, Sylvain contributes to a number of scientific computing open-source projects such as bqplot, xtensor and ipyleaflet. Sylvain founded QuantStack in September 2016. Prior to founding QuantStack, Sylvain was a quant researcher at Bloomberg and an adjunct faculty member at the Courant Institute and Columbia University.
 
Matt Craig
Minnesota State University Moorhead
 
James Crist
Continuum Analytics
Jim Crist holds a Bachelors and a (tentative) Masters in Mechanical Engineering from the University of Minnesota. Whilst procrastinating on his thesis, he got involved in the scientific Python community. He is currently a software developer at Continuum Analytics.
 
Matt Davis
Clover Health
Matt Davis is a software engineer on the Data Platform team at Clover Health. The team is responsible for making data accessible to those who need it and keeping data flowing smoothly between sources and sites of use. Matt been using Python to work with data in science and at startups since 2008, after getting degrees in Astronomy and Aerospace Engineering. He maintains some moderately popular open-source Python libraries, including SnakeViz and Palettable.
 
Ray Donnelly
Anaconda, Inc.
 
Martin Durant
Anaconda Inc.
 
Philip Elson
Met Office
 
Filipe Fernandes
SECOORA
 
Jean-Christophe Fillion-Robin
Kitware, Inc.
Jean-Christophe is the maintainer of scikit-build, scikit-ci, scikit-ci-addons and python-cmake-buildsystem. He is also a contributor to dockcross.
 
Josh Gordon
Google
Josh Gordon works on the TensorFlow team at Google, and teaches Deep Learning at Pace University. He has over a decade of machine learning experience to share. You can find him on YouTube (goo.gl/KewA03) and Twitter (@random_forests).
 
Jason Grout
Bloomberg LP
Jason Grout is a Jupyter developer at Bloomberg, working primarily on JupyterLab and the interactive Jupyter widgets library. He has also been a major contributor to the open source Sage mathematical software system and co-organizes the PyDataNYC Meetup. Previously, Jason was an assistant professor of mathematics at Drake University in Des Moines, Iowa. He earned a PhD in mathematics from Brigham Young University.
 
Jonathan Helmus
Anaconda, Inc.
 
Jane Herriman
Julia Computing
 
John Leeman
UCAR/Unidata
John obtained bachelor's degrees in meteorology and geophysics from the University of Oklahoma in 2012, and a PhD in geoscience from Penn State in 2017. He has worked in research fields ranging from gas hydrate thermodynamics to SODAR and boundary layer instrumentation, and did his doctoral work in earthquake physics. John's software development experience includes work on the seafloor process simulator at Oak Ridge National Laboratory and telemetry analysis tools for NASA's Morpheus lunar lander project. The common thread amongst all of these projects was “the development of new tools and software to attack previously intractable problems.” John is now a software engineer at Unidata in Boulder, Colorado.
 
Guillaume Lemaitre
INRIA Saclay - Parietal team
 
Bill Little
Met Office
 
Eric Ma
Novartis Institutes for Biomedical Research
 
Ryan May
UCAR/Unidata
 
Matthew McCormick
Kitware, Inc.
 
Andreas Mueller
Columbia University
I'm a lecturer at the Data Science Institute at Columbia University and author of the O'Reilly book "Introduction to machine learning with Python", describing a practical approach to machine learning with python and scikit-learn. I am one of the core developers of the scikit-learn machine learning library, and I have been co-maintaining it for several years. I'm also a Software Carpentry instructor. In the past, I worked at the NYU Center for Data Science on open source and open science, and as Machine Learning Scientist at Amazon. You can find my full cv hereMy mission is to create open tools to lower the barrier of entry for machine learning applications, promote reproducible science and democratize the access to high-quality machine learning algorithms.
 
Dillon Niederhut
Enthought
Dillon Niederhut holds a Ph.D. in Anthropology from the University of California at Berkeley. His graduate research was in computational semantics and advanced neuroimaging applications, and he taught graduate-level classes in R and Python. Prior to joining Enthought, Dillon developed heterogeneous processing and analytics pipelines for Berkeley's Data Lab. Outside of the office, he contributes to several open-source initiatives, including Mozilla Science Lab, Bayes Impact, and Open Austin.
 
Juan Nunez-Iglesias
University of Melbourne
Juan Nunez-Iglesias is a research scientist at the Life Sciences Computation Centre, University of Melbourne, Australia. He has taught scientific Python at SciPy, EuroSciPy, the G-Node Summer School, and at other workshops. He is the author of the upcoming O'Reilly title "Elegant SciPy".
 
Prabhu Ramachandran
Enthought and IIT Bombay
Prabhu Ramachandran has been a faculty member at the Department of Aerospace Engineering, IIT Bombay, since 2005. His research interests are primarily in particle methods and applied scientific computing. He has been active in the FOSS community for more than a decade. He co-founded the Chennai Linux User Group in 1998 and is the creator, and lead developer of Mayavi. He has contributed to the Python wrappers of the Visualization Toolkit. Prabhu has a Ph.D. in Aerospace Engineering from IIT Madras. He is an active member of the SciPy community as well as a member the Society for Industrial and Applied Mathematics and a nominated member of the Python Software Foundation. Prabhu is also this year's SciPy Co-Chair.
 
Serge Rey
University of California, Riverside
Sergio Rey is founding director of the Center for Geospatial Sciences at the University of California Riverside where he is also professor of public policy. Rey is the co-founder and lead of PySAL, and has given many workshops and short courses on spatial data analysis throughout the world.
 
Ben Root
Atmospheric and Environmental Research, Inc/Matplotlib
Ben Root is a member of the Matplotlib development team. Ben works as a scientific programmer using Python for Atmospheric and Environmental Research, Inc. He has written a book, "Interactive Applications with Matplotlib", and has given multiple presentations in the past, particularly the O'Reilly webinar, "Introduction to the SciPy ecosystem".
 
Sara Safavi
Planet
Sara is a software engineer helping bring daily earth imagery to the world at Planet. Based in Austin, TX, Sara frequently gives tech talks and teaches workshops centered around Python and/or geospatial data and tools.
 
Michael Sarahan
Anaconda, Inc.
 
Mridul Seth
BITS Pilani KK Birla Goa Campus
 
Parul Sethi
University of Delhi
Parul is a pythonista studying Maths and IT at University of Delhi. For the love of Open-source and NLP, she regularly contributes to a widely used NLP library, gensim, and was selected as their Google summer of code student under NumFOCUS umbrella for 2017.
 
Software Carpentry Team
 
Jean-Luc Stevens
Anaconda, Inc.
Jean-Luc works as a software engineer for Anaconda, Inc. and is a final-year PhD in computational neuroscience at the University of Edinburgh working on large-scale models of the primary visual cortex. His scientific code is exclusively written in Python and is openly accessible together with his research publications under a BSD license on GitHub. Much of his work has been aimed at making reproducible and open research a practical reality in Python, with particular emphasis on effective use of the IPython Notebook environment. In particular, Jean-Luc has authored two new open source projects, HoloViews and Lancet, that improve scientific reproducibility and that are in regular use by researchers outside of his own field.
 
Joris Van den Bossche
Université Paris-Saclay Center for Data Science
Joris Van den Bossche is a core contributor to Pandas, the main data analysis library in Python and has given several tutorials on this topic at international conferences (PyData Paris and EuroScipy) and a course on this topic for PhD students at Ghent University. He did a PhD at Ghent University and VITO in air quality research, and was contractor for Anaconda Inc. Currently he works at the Paris-Saclay Center for Data Science.
 
Stéfan van der Walt
University of California, Berkeley
Stefan van der Walt is an assistant researcher at the Berkeley Institute for Data Science and a senior lecturer in applied mathematics at Stellenbosch University, South Africa. He has been an active member of the scientific Python community since 2006, and frequently teaches Python at workshops and conferences. He is the founder of scikit-image and a contributor to numpy, scipy and dipy.
 
Sacha Verweij
Stanford University
 
Joshua Warner
Scikit Image/University of Arizona
Josh is a core developer on scikit-image. He recently defended his Ph.D. in medical image analysis, and has presented his research in podium and poster format over 30 times. Josh has been closely involved in the development of `scikit-image` for the last 3 years.
 
Alyssa Whitwell
Clover Health
 
Levi Wolf
University of Bristol
Levi Wolf is a Lecturer in Quantitative Human Geography at the University of Bristol, as well as a fellow at the University of Chicago center for Spatial Data Science. Wolf is also a maintainer of PySAL, as well as author of other statistical packages in Python & Julia.
 

Conference Speakers and Authors

See the Conference Schedule here.

Hameer Abbasi
TU Darmstadt
Hameer is a Master student at TU Darmstadt in Germany, enrolled in a communications program. He tinkers with Python and develops libraries in his free time.
 
Carl Adorf
University of Michigan
 
Jeremy Anderson
University of Oregon
 
Zan Armstrong
 
David Aronchick
Google
 
Tom Augspurger
Anaconda, Inc.
Tom is a data scientist and software developer for Anaconda. He's a maintainer of pandas and dask. As a graduate student in economics, he taught statistics to undergraduate business students. Tom has taught pandas tutorials at PyData Seattle, Chicago, and New York, and for O'Reilly Media's Live Online Training.
 
Yadu Babuji
University of Chicago
 
Paige Bailey
Microsoft
 
Christopher Ball
Anaconda, Inc.
 
Edward Banner
mosss.com
 
Lorena Barba
George Washington University
Lorena A. Barba is an Associate Professor of Mechanical and Aerospace Engineering at the George Washington University in Washington, DC. Prof. Barba is an advocate of open-source software for science and open educational resources, and shares her courseware on iTunesU and YouTube. She is also interested in education technology, social learning and the recent spread of massively open online courses, as well as innovations in STEM education, including flipped classrooms and other forms of blended learning.Her research includes computational fluid dynamics, high-performance computing, computational biophysics and animal flight.
 
Brad Bebee
Systap
 
James A. Bednar
Anaconda, Inc.
Dr. Jim Bednar is a Senior Solutions Architect at Anaconda, Inc. Dr. Bednar holds a Ph.D. in Computer Science from the University of Texas, along with degrees in Electrical Engineering and Philosophy. He has published more than 50 papers and books about the visual system and about software development. Dr. Bednar manages the open source Python projects PyViz, Datashader, HoloViews, GeoViews, Param, Colorcet, and ImaGen. Before Continuum, Dr. Bednar was a lecturer and researcher in Computational Neuroscience at the University of Edinburgh, Scotland, as well as a software and hardware engineer at National Instruments.
 
Maarten Breddels
Kapteyn Astronomical Institute, University of Groningen
Maarten Breddels is a Postdoctoral Researcher at the Kapteyn Astronomical Institute, University of Groningen (RUG), Netherlands. He earned a bachelor in Information Technology, and a bachelor, master and PhD in Astronomy. Maarten has experience in low level languages as assembly and C, to higher level languages such as C++ to Java, Javascript and Python. His PhD research was on the field of galactic dynamics. He is now working for the Gaia mission, combing astronomy and IT, to enable visualization and exploration of the large dataset this satellite will yield. Through the work on ipyvolume he has become one of the ipywidgets developers.
 
Gregory Brener
Anaconda Inc.
 
Francois Budin
Kitware, Inc.
 
Christopher Carroll
Johns Hopkins University
 
Kyle Chard
Computation Institute, University of Chicago and Argonne National Lab
 
Deepak Chittajallu
Kitware, Inc.
 
Scott Christensen
U.S. Army Engineer Research and Development Center
 
Nathanael Claussen
University of Illinois at Urbana-Champaign
 
Marianne Corvellec
Institute for Globally Distributed Open Research and Education (IGDORE)
Marianne holds a PhD in statistical physics and works as an industry data scientist. She is also an independent researcher affiliated with IGDORE. Her research interests include data science, education, and assessment. Since 2013, she has been a regular speaker and contributor in the Python, Carpentries, and FLOSS communities.
 
Farren Curtis
Carnegie Mellon University
 
John Davis
Civis Analytics, Inc.
 
Steven Diamond
Stanford University
 
Bradley Dice
University of Michigan
 
Paul M. Dodd
University of Michigan
 
Filipe Fernandes
SECOORA
 
Jean-Christophe Fillion-Robin
Kitware, Inc.
Jean-Christophe is the maintainer of scikit-build, scikit-ci, scikit-ci-addons and python-cmake-buildsystem. He is also a contributor to dockcross.
 
Leon Foks
Apogee Engineering contracted to United State Geological Survey
 
Ian Foster
University of Chicago and Argonne National Laboratory
 
Joe Futrelle
Woods Hole Oceanographic Institution
 
Thomas Gartner
University of Delaware
 
Hardik Ghaghada
Ex FOSSEE, IIT Bombay
 
Sharon C. Glotzer
University of Michigan
 
Ralf Gommers
FP Innovations, Scion
Ralf Gommers is currently a senior data scientist in the forestry industry, at FP Innovations (Vancouver, Canada) and Scion (Rotorua, New Zealand). His research interests there include modelling of forest diseases and productivity, and scaling up remote sensing forestry applications - mainly using tools in the scientific Python ecosystem. He has previously worked on cold atom physics, MRI systems and lithography machines. Ralf is a core developer of SciPy, NumPy and PyWavelets, and is a board member of NumFOCUS. His focus over the last decade has been on growing the scientific Python ecosystem and making its core projects more sustainable.
 
Michael Grauer
Kitware, Inc.
 
Olivier Grisel
INRIA
 
Mahesh Gudi
FOSSEE, IIT Bombay
 
Joseph Hamman
Research Applications Laboratory, National Center for Atmospheric Research
Joe Hamman is a computational hydroclimatologist. He has a Ph.D. in Civil and Environmental Engineering from the University of Washington. He is currently a post-doctoral fellow at the National Center for Atmospheric Research in the Computational Hydrology Group (part of the Research Applications Laboratory’s Hydrometeorological Applications Program) where his research focuses on developing and evaluating computational hydrologic models to better understand the sources of uncertainty in future hydrologic projections. He is an active developer of a number of open-source Python projects, including Xarray and Pangeo.
 
Su Han
University of California
 
Meghan Heintz
BuzzFeed
 
Noelle Held
Woods Hole Oceanographic Institution/Massachusetts Institute of Technology
 
David Hoese
University of Wisconsin - Madison, Space Science and Engineering Center
Dave Hoese graduated with a Bachelor’s degree in computer engineering in 2011 from the University of Wisconsin - Madison. After graduating he continued his work as a software engineer at the Space Science and Engineering Center (SSEC) at UW - Madison. His work involves writing software for researchers, forecasters, and the rest of the scientific community to make meteorological instrument data easier to find, use, and understand. At the SSEC Dave is part of teams, include the Community Satellite Processing Package (CSPP) team, that release open source applications like Polar2Grid and SIFT. This work has lead to Dave being a core developer on various open source python packages like SatPy, VisPy, PyResample, and aggdraw among others.
 
Daniel Hofmann
Mapbox
 
Chris Holdgraf
University of California, Berkeley
 
Tim Hopper
Cylance Inc.
Tim Hopper is a data scientist at Cylance, Inc., a next-generation, machine-learning-driven antivirus provider. Prior to Cylance, he worked at two other cybersecurity startups: Distil Networks and Qadium, Inc. He blogs at tdhopper.com and is the creator of pythonplot.com.
 
Dustin Ingram
Python Packaging Authority
Dustin Ingram is a member of the Python Packaging Authority, maintainer of PyPI, and organizer for the PyTexas conference.
 
Ankit Javalkar
FOSSEE, IIT Bombay
 
Arthi Jayaraman
University of Delaware
 
Ronald Jones
NIST
 
Daniel Katz
University of Illinois at Urbana-Champaign
 
Elijah Knaap
University of California
 
Kacper Kowalik
University of Illinois at Urbana-Champaign
 
Meagan Lang
University of Illinois, Champaign-Urbana
 
Julie Lavoie
 
John Leeman
UCAR/Unidata
John obtained bachelor's degrees in meteorology and geophysics from the University of Oklahoma in 2012, and a PhD in geoscience from Penn State in 2017. He has worked in research fields ranging from gas hydrate thermodynamics to SODAR and boundary layer instrumentation, and did his doctoral work in earthquake physics. John's software development experience includes work on the seafloor process simulator at Oak Ridge National Laboratory and telemetry analysis tools for NASA's Morpheus lunar lander project. The common thread amongst all of these projects was “the development of new tools and software to attack previously intractable problems.” John is now a software engineer at Unidata in Boulder, Colorado.
 
Xiayue Li
Google
 
David Liu
Intel
David is a Technical Consultant Engineer at Intel Corporation in Austin, Texas, where he represents Intel's Python products and projects. He is focused on solving customer problems in Python while simultaneously developing and shaping Intel's software products to match customer needs. In the past, he worked as a software engineer utilizing Python in machine learning, network infrastructure, and web work. David holds an MS in Software Engineering from the University of Texas at Austin.
 
Austin Macdonald
 
Dhruv Madeka
Amazon
Dhruv Madeka is a Senior Machine Learning Scientist at Amazon. His current research interests focus on Machine Learning, Data Visualization and Applied Mathematics. Having graduated from the University of Michigan with a BS in Operations Research and from Boston University with an MS in Mathematical Finance, Dhruv is part of one of the leading research teams in Finance, developing models, software and tools for users to make their data analysis experience richer.
 
Anton Malakhov
Intel Corporation
Anton has served as software development engineer at Intel Corporation for 11 years. He is experienced in multi-core (shared memory) parallelism, dynamic task scheduling, and concurrent containers thanks to 9 years at the Intel Threading Building Blocks (TBB) project (http://www.threadingbuildingblocks.org/). Now, Anton works for the Intel Distribution for Python project, researching ways to implement better parallelism support for the Python environment. LinkedIn: http://linkedin.com/in/antonmalakhov/
 
Benjamin Margolis
University of California, Davis
 
Noa Marom
Carnegie Mellon University
 
Martinho Marta-Almeida
 
Tyler Martin
NIST
 
Charles Masson
Datadog
 
Ryan May
UCAR/Unidata
 
Matthew McCormick
Kitware, Inc.
 
Leland McInnes
Tutte Institute for Mathematics and Computing
 
Wes McKinney
Two Sigma, pandas, Apache Software Foundation
Wes McKinney is the creator of the Python pandas project. He is on the PMC for Apache Arrow and Apache Parquet.
 
Jon Mease
Johns Hopkins Applied Physics Laboratory
Jon is a data scientist and software developer with the Air and Missile Defense Sector of the Johns Hopkins Applied Physics Laboratory. He has interest and experience across a range of technical domains, programming languages, data visualization techniques, and data science technologies. Jon holds bachelors’ degrees in Physics and Mathematics from Millersville University, a master’s degree in Computer Science from Johns Hopkins University, and is currently pursuing a Master of Information and Data Science degree from UC Berkeley.
 
Romain Menegaux
Mines ParisTech
 
Burke Minsley
United States Geological Survey
 
Jason Moore
University of California, Davis
 
Philipp Moritz
University of California, Berkeley
 
Madicken Munk
University of Illinois at Urbana-Champaign
 
Virginia Ng
Mapbox
 
Dillon Niederhut
Enthought
Dillon Niederhut holds a Ph.D. in Anthropology from the University of California at Berkeley. His graduate research was in computational semantics and advanced neuroimaging applications, and he taught graduate-level classes in R and Python. Prior to joining Enthought, Dillon developed heterogeneous processing and analytics pipelines for Berkeley's Data Lab. Outside of the office, he contributes to several open-source initiatives, including Mozilla Science Lab, Bayes Impact, and Open Austin.
 
Robert Nishihara
University of California, Berkeley
 
Randal Olson
Life Epigenetics, Inc.
Dr. Randy Olson is the Lead Data Scientist at Life Epigenetics, Inc. (http://lifeegx.com), where he is merging cutting edge epigenetics research with advanced machine learning to improve life expectancy prediction for the life insurance industry. He is a long time proponent of open and reproducible science, and leads by example by openly publishing his work on GitHub (https://github.com/rhiever/) and in open access journals. Randy writes about his latest adventures in data science at http://RandalOlson.com/blog, and tweets about the latest data science news at http://twitter.com/randal_olson.
 
M Pacer
University of California, Berkeley
 
Omar Padron
Kitware, Inc.
 
Henri Palacci
Columbia University
 
Aditya Palaparthy
FOSSEE, IIT Bombay
 
Beatriz Paniagua
Kitware, Inc.
 
Dharhas Pothina
U.S. Army Engineer Research and Development Center
 
Guenevere Prawiroatmodjo
Rigetti Quantum Computing
 
Min Ragan-Kelley
IPython/Jupyter
Min has been a core contributor to Jupyter and IPython since 2006. He also maintains the PyZMQ messaging library.
 
Prabhu Ramachandran
Enthought and IIT Bombay
Prabhu Ramachandran has been a faculty member at the Department of Aerospace Engineering, IIT Bombay, since 2005. His research interests are primarily in particle methods and applied scientific computing. He has been active in the FOSS community for more than a decade. He co-founded the Chennai Linux User Group in 1998 and is the creator, and lead developer of Mayavi. He has contributed to the Python wrappers of the Visualization Toolkit. Prabhu has a Ph.D. in Aerospace Engineering from IIT Madras. He is an active member of the SciPy community as well as a member the Society for Industrial and Applied Mathematics and a nominated member of the Python Software Foundation. Prabhu is also this year's SciPy Co-Chair.
 
Vyas Ramasubramani
University of Michigan
Vyas is a PhD student at the University of Michigan, Ann Arbor. His research interests involve the self-assembly of colloidal materials, particularly complex assemblies such as protein crystals. In addition to developing signac, Vyas also leads development of the rowan and freud Python packages, and he contributes to the particle simulation toolkit HOOMD-blue.
 
Martin Raspaud
Swedish Meteorological and Hydrological Institute
 
Serge Rey
University of California, Riverside
Sergio Rey is founding director of the Center for Geospatial Sciences at the University of California Riverside where he is also professor of public policy. Rey is the co-founder and lead of PySAL, and has given many workshops and short courses on spatial data analysis throughout the world.
 
Adam Richie-Halford
University of Washington
 
Ariel Rokem
The University of Washington eScience Institute
 
Timothy Rose
Carnegie Mellon University
I earned my BS in chemistry from Brigham Young University - Idaho with a minor in mathematics and am currently a second year PhD student in materials science and engineering at Carnegie Mellon University. My interests lie primarily in applying data science to real world problems and supercomputing HPC with python through MPI, numpy, and importing fortran codes as a python libraries.
 
Philipp Rudiger
Anaconda, Inc.
Philipp works on developing open source and client specific software solutions for data management, visualization and analysis at Anaconda, Inc. and is the co-creator of Holoviews. Additionally, Philipp is interested in computational modeling of the brain and is currently still working on completing his PhD in the field. Philipp's main research area is in understanding the mammalian visual system through computational modeling. In particular, his research explores how cortical circuits self-organize through activity dependent processes, encode the visual statistics of the environment and give rise to the functional properties of the cortex.
 
Zachary Sailer
University of Oregon
Zach Sailer is a physicist, turned software developer, turned evolutionary biologist. He began his academic career as a condensed matter physicist in Jon Fernsler's lab at Cal Poly SLO. While at Cal Poly, he met and joined the IPython team and worked as a core developer for a year. Now, Zach is PhD student in Mike Harms' lab, an evolutionary biophysics lab at the University of Oregon. He's using bioinformatics, phylogenetics, and machine-learning to uncover mechanisms that shape how proteins evolve.
 
Mak Saito
Woods Hole Oceanographic Institution
 
Prathamesh Salunke
FOSSEE, IIT Bombay
 
Benjamin Sanchez Lengeling
Harvard University
 
Jose Sanchez-Gallego
University of Washington
 
Michael Sarahan
Anaconda, Inc.
 
Jaclyn Saunders
Woods Hole Oceanographic Institution
 
Conor Sayres
University of Washington
 
David Shupe
Caltech/IPAC
 
Richard Signell
United State Geological Survey
 
Leo Singer
LIGO
Leo Singer earned his Bachelor's degree in 2009 at the University of Maryland and his Ph.D. in physics from the California Institute of Technology in 2014. He is currently a Research Astrophysicist at NASA's Goddard Space Flight Center. By day, he works on real-time detection and real-time Bayesian inference in data from the Laser Interferometer Gravitational-wave Observatory (LIGO). By night, he tracks down optical and infrared signatures of these events using the Zwicky Transient Facility (ZTF) and a host of other ground- and space-based astronomical facilities.
 
Max Smolens
Kitware, Inc.
 
Chad Snyder
NIST
 
Jennifer Sobeck
University of Washington
 
Jean-Luc Stevens
Anaconda, Inc.
Jean-Luc works as a software engineer for Anaconda, Inc. and is a final-year PhD in computational neuroscience at the University of Edinburgh working on large-scale models of the primary visual cortex. His scientific code is exclusively written in Python and is openly accessible together with his research publications under a BSD license on GitHub. Much of his work has been aimed at making reproducible and open research a practical reality in Python, with particular emphasis on effective use of the IPython Notebook environment. In particular, Jean-Luc has authored two new open source projects, HoloViews and Lancet, that improve scientific reproducibility and that are in regular use by researchers outside of his own field.
 
Ion Stoica
University of California, Berkeley
 
Anne Struble
Systap
 
Srinivas Sunkara
Google
 
Kelly Thompson
University of Minnesota
 
Kristen Thyng
Texas A&M University
Kristen Thyng is an assistant research scientist in Oceanography at Texas A&M University. Her research areas include transport processes and the physics of flows (particularly in estuaries and coastal seas), and tidal energy. She is enthusiastic about Python and computational science, and a proponent of clear and beautiful visualizations.
 
Matthew Turk
University of Illinois
 
Leonardo Uieda
Department of Geology and Geophysics, University of Hawaii at Manoa
Leonardo is building GMT/Python at the University of Hawaii at Manoa, researching inverse problems in geophysics, and working on other open-source software like Tesseroids and Fatiando a Terra.
 
Konstantinos Vamvourellis
London School of Economics and Political Science
Konstantinos has a background in mathematics and computer science and has worked as a research scientist in both academia and industry. He earned his B.S. in Mathematics from Imperial College London (2011) and his M.A. from the Courant Institute at NYU (2013). Konstantinos is currently a PhD candidate in Statistics at the London School of Economics.
 
Bryan Van de Ven
Anaconda, Inc.
Bryan studied undergraduate Computer Science and Mathematics at UT Austin, and earned a Master's degree in Physics at UCLA. Currently he leads the technical effort for work done on the Bokeh project at Continuum Analytics. Previously, he has worked on feature detection and classification systems for submarine platforms, automated tools for financial risk modeling, and workflow optimization for fluid mixing simulations. He has also taught Basic, Advanced, and Scientific Python courses to more than 1500 students in the last four years.
 
Joris Van den Bossche
Université Paris-Saclay Center for Data Science
Joris Van den Bossche is a core contributor to Pandas, the main data analysis library in Python and has given several tutorials on this topic at international conferences (PyData Paris and EuroScipy) and a course on this topic for PhD students at Ghent University. He did a PhD at Ghent University and VITO in air quality research, and was contractor for Anaconda Inc. Currently he works at the Paris-Saclay Center for Data Science.
 
Jake VanderPlas PhD
eScience Institute, University of Washington
Jake VanderPlas is the Director of Research in the Physical Sciences at the University of Washington's eScience Institute, an interdisciplinary program designed to support data-driven discovery in a wide range of scientific fields. His own research is in astronomy, astrophysics, machine learning, and scalable computation. In addition, he is a maintainer and/or frequent contributor to many open source Python projects, including scikit-learn, scipy, mpld3 and others. He occasionally blogs about Python, machine learning, data visualization, open science, and related topics at http://jakevdp.github.io.
 
Paul Wessel
Department of Geology and Geophysics, University of Hawaii at Manoa
 
Matthew White
University of Delaware
 
Mike Wilde
University of Chicago
 
Kevin Winters
U.S. Army Engineer Research and Development Center
 
Levi Wolf
University of Bristol
Levi Wolf is a Lecturer in Quantitative Human Geography at the University of Bristol, as well as a fellow at the University of Chicago center for Spatial Data Science. Wolf is also a maintainer of PySAL, as well as author of other statistical packages in Python & Julia.
 
Anna Woodard
University of Chicago
 
Justin Wozniak
Argonne National Laboratory
 
Bihan Zhang
Red Hat
 
Dženan Zukić
Kitware, Inc.
 

Poster Presenters and Authors

Lorena Alzate-Vargas
Purdue University
 
Sebastian Bassi
Globant
 
Ian Bell
NIST
 
Julie Bessac
Argonne National Laboratory
 
Christiaan Boersma
NASA/San José State University Research Foundation
 
Lucas Bouck
George Mason University
 
Benoit Bovy
GFZ Potsdam
 
Katherine Breen
Baylor University, Department of Geosciences
 
Adam Brink
Sandia National Labs
 
Lori Burns
Georgia Tech
 
Helen Che
University of California, Berkeley
 
Chakra Chennubhotla
University of Pittsburgh
 
John Chodera
Memorial Sloan Kettering Cancer Center
 
Pramit Choudhary
DataScience Inc.
 
Scott Collis
Argonne National Laboratory
 
Abigail Courtney
University of Georgia
 
Geoffrey Cureton
Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin - Madison
 
Andrew Durden
University of Georgia
 
Mojtaba Fazil
University of Georgia
 
Jean-Christophe Fillion-Robin
Kitware, Inc.
Jean-Christophe is the maintainer of scikit-build, scikit-ci, scikit-ci-addons and python-cmake-buildsystem. He is also a contributor to dockcross.
 
Todd Gamblin
Lawrence Livermore National Laboratory
 
Ray Garcia
University of Wisconsin - Madison, Space Science and Engineering Center
 
Jordan Gerth
University of Wisconsin - Madison, Space Science and Engineering Center
 
Alexis Girault
Kitware, Inc.
 
Michael Goerz
Stanford University and Army Research Lab
 
Joseph Gonzalez
University of California, Berkeley
 
Michael Grauer
Kitware, Inc.
 
Ben Haley
Purdue University
 
Cyrus Harrison
Lawrence Livermore National Laboratory
 
George Hilley
Stanford University
 
David Hoese
University of Wisconsin - Madison, Space Science and Engineering Center
Dave Hoese graduated with a Bachelor’s degree in computer engineering in 2011 from the University of Wisconsin - Madison. After graduating he continued his work as a software engineer at the Space Science and Engineering Center (SSEC) at UW - Madison. His work involves writing software for researchers, forecasters, and the rest of the scientific community to make meteorological instrument data easier to find, use, and understand. At the SSEC Dave is part of teams, include the Community Satellite Processing Package (CSPP) team, that release open source applications like Polar2Grid and SIFT. This work has lead to Dave being a core developer on various open source python packages like SatPy, VisPy, PyResample, and aggdraw among others.
 
Martin Hunt
Purdue University
 
Memunat Ibrahim
Federal University Lokoja
 
Luiz Irber
Department of Population Health and Reproduction, University of California, Davis
 
Robert Jackson
Argonne National Laboratory
Bobby Jackson is a postdoctoral researcher at Argonne National Laboratory studying thunderstorms using Doppler radars. His research interests pertain to the vertical motions inside thunderstorms and how they relate to meteorological conditions in the Tropics. His expertise includes the dynamics and microphysics of thunderstorms and ice clouds, as well as over a decade of experience in programming and software development in several languages, including Python. Bobby Jackson obtained his Ph.D. at the University of Illinois at Urbana-Champaign in Atmospheric Sciences studying the microphysical properties of cirrus clouds and estimating uncertainties in ice measurements. https://www.linkedin.com/in/robert-jackson-bab4ba54/
 
Scott James
Baylor University, Departments of Geosciences and Mechanical Engineering
 
Anthony Joseph
University of California, Berkeley
 
Sebastien Jourdain
Kitware, Inc.
 
Pawel Kozlowski
West Virginia University
 
Mehmet Kunt
Eastern Mediterranean University
 
David Lampert
Oklahoma State University
 
Meagan Lang
University of Illinois, Champaign-Urbana
 
Timothy Lang
NASA MSFC
 
Andrew Leonard
Aperio Software
 
Chunyu Li
Purdue University
 
Alan Liang
University of California - Berkeley, Division of Data Sciences
 
Scott Lindstrom
University of Wisconsin - Madison, Space Science and Engineering Center
 
David Liu
Intel
David is a Technical Consultant Engineer at Intel Corporation in Austin, Texas, where he represents Intel's Python products and projects. He is focused on solving customer problems in Python while simultaneously developing and shaping Intel's software products to match customer needs. In the past, he worked as a software engineer utilizing Python in machine learning, network infrastructure, and web work. David holds an MS in Software Engineering from the University of Texas at Austin.
 
Allyson Loy
University of Georgia
 
Ken Martin
Kitware, Inc.
 
Jackson Marusarz
Intel
 
Matthew McCormick
Kitware, Inc.
 
Christian McDaniel
University of Georgia
 
Thomas Mendoza
Lawrence Livermore National Laboratory
 
Simon Mo
University of California, Berkeley
 
Philipp Moritz
University of California, Berkeley
 
James Munroe
Memorial University of Newfoundland
 
Todd Munson
Argonne National Laboratory
 
Nicholas Murphy
Harvard University
 
David Najera
ATA Engineering
 
Trisalyn Nelson
School of Geographical Sciences and Urban Planning, Arizona State University
 
Kyle Niemeyer
Oregon State University
Kyle Niemeyer is an Assistant Professor in the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University. He received a PhD in Mechanical Engineering from Case Western Reserve University. His research interests include computational modeling of combustion and fluid flows, high-performance computing, and methods to improve openness and reproducibility in those fields. Kyle is on the editorial boards of the Journal of Open Source Software (JOSS), Journal of Open Research Software (JORS), and The Journal of Open Engineering (TJOE), and serves on the steering committee of engrXiv. More information and musings by Kyle can be found at https://niemeyer-research-group.github.io and @kyleniemeyer.
 
Robert Nishihara
University of California, Berkeley
 
Laura Noren
CIMS - Center for Data Science
 
Francisca Oladipo
Federal University Lokoja
 
M Pacer
University of California, Berkeley
 
Tulasi Parashar
University of Delaware
 
Devin Petersohn
University of California, Berkeley
 
Corey Potvin
Cooperative Institute for Mesoscale Meteorological Studies/National Severe Storms Laboratory
 
Frederick Quinn
University of Georgia
 
Shannon Quinn
University of Georgia
 
Barbara Reaves
University of Georgia
 
Gregory Ross
Schrodinger
 
Avipsa Roy
School of Geographical Sciences and Urban Planning, Arizona State University
 
Robert Sare
Stanford University
 
Mitchell Sawtelle
Oklahoma State University
 
Elizabeth Seiver
PLOS
 
Gökhan Sever
Argonne National Laboratory
 
Matthew Shannon
NASA/Universities Space Research Association
 
Chiranth Siddappa
 
Leah Silen
NumFOCUS
Leah Silen has been with NumFOCUS from its beginning, working with the founding board members to write the application for NumFOCUS’s nonprofit status. Before joining NumFOCUS, she worked in the nonprofit sector as a Public Relations and Program Director with a focus on community relations and fundraising. Leah has also volunteered and sat on several boards of nonprofit organizations.
 
Rohan Singh
University of California, Berkeley
 
Britton Smith
University of California, San Diego
 
Dominik Stańczak
PlasmaPy
 
Chaya Stern
Weill Cornell Medicine / Memorial Sloan Kettering Cancer Center
 
Thomas Stitt
Lawrence Livermore National Laboratory
 
Ion Stoica
University of California, Berkeley
 
Alejandro Strachan
Purdue University
 
Harikaran Subbaraj
University of California, Berkeley
 
Anthony Suen
University of California - Berkeley, Division of Data Sciences
 
Kyle Sunden
University of Wisconsin-Madison
 
Andy Terrel
NumFOCUS
Andy Terrel received his PhD in computer science at the University of Chicago in 2010. He is currently the Chief Technology Officer at Fashion Metric. His major emphasis of research has been on the automation of numerical methods on high performance computing resources.
 
Blaise Thompson
University of Wisconsin-Madison
 
Rohit Tripathy
Purdue University
 
Justin Turney
University of Georgia Chemistry
 
Peter Veerman
University of California, Berkeley
 
Bryan Weber
University of Connecticut
 
Joseph White
Baylor University, Department of Biology
 
Mark Wickert
University of Colorado
Dr. Mark Wickert is a full professor in the Electrical and Computer Engineering Department at the University of Colorado Colorado Springs. He received his BS and MS in Electrical Engineering from Michigan Technological University and his Ph.D. from Missouri University of Science and Technology. In 2013 he published the book Signals and Systems for Dummies, featuring the using of open source Python for signal modeling and simulation. His primary teaching and research interests are in communications and signal processing, such as digital communications, sensor networks, cognitive radio, software defined radio, digital signal processing, and statistical signal processing. He has worked as a consultant to many local companies in a variety signal processing topics, both commercial and government. He has a great passion for teaching, and for well over ten years has taught courses in real-time digital signal. Recently he started teaching real-time DSP using the ARM Cortex-M family. In his consulting work and teaching he enjoys using open-source design and analysis tools, such as Python via the Jupyter notebook.
 
John Wright
University of Wisconsin-Madison
 
Oliver Zeigermann