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 Anaconda, Inc. 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 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 Bill Little is a scientific software engineer working in the Analysis, Visualization and Data Team at the U.K. Met Office. He is a core developer and maintainer of iris, cartopy and the SciTools software Stack. | |
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 here. My 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 Professor in the School of Public Policy and Founding Director of the Center for Geospatial Sciences at the University of California, Riverside. Rey’s research interests focus on the development, implementation, and application of advanced methods of spatial and space-time data analysis. His substantive foci include regional inequality, convergence and growth dynamics as well as neighborhood change, segregation dynamics, spatial criminology and industrial networks. He is co-founder and lead of PySAL: Python Spatial Analysis LIbrary. | |
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. | |
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. | |
Jeremy Anderson University of Oregon | |
Francois Budin Kitware, Inc. | |
Deepak Chittajallu Kitware, Inc. | |
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. | |
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. | |
Joe Futrelle Woods Hole Oceanographic Institution | |
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. | |
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. | |
Noelle Held Woods Hole Oceanographic Institution/Massachusetts Institute of Technology Noelle Held is a PhD Candidate at the MIT-WHOI Joint Program in Oceanography/Applied Ocean Science and Engineering. Noelle is a chemical oceanographer interested in understanding how marine microbes impact, and are impacted by, the chemistry of the ocean. With other members of the Saito lab for Marine Bioinorganic Chemistry (http://www.whoi.edu/saitolab/), she develops metaproteomics methods to probe microbial function. She uses scientific Python tools to visualize and understand these large datasets, and enjoys working at the interface of software development and ocean science. | |
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. | |
Dustin Ingram Python Packaging Authority Dustin Ingram is a member of the Python Packaging Authority, maintainer of PyPI, and organizer for the PyTexas conference. | |
Meagan Lang University of Illinois, Champaign-Urbana | |
Julie Lavoie | |
Matthew McCormick Kitware, Inc. | |
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. | |
Philipp Moritz University of California, Berkeley | |
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. | |
Omar Padron Kitware, Inc. | |
Henri Palacci Columbia University | |
Beatriz Paniagua Kitware, Inc. | |
Martin Raspaud Swedish Meteorological and Hydrological Institute | |
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 | |
Jose Sanchez-Gallego University of Washington | |
Michael Sarahan Anaconda, Inc. | |
Jaclyn Saunders Woods Hole Oceanographic Institution Jaci Saunders is a NASA Postdoctoral Fellow at the Woods Hole Oceanographic Institution and an affiliate at the Massachusetts Institute of Technology. The broad goal of her research is to better understand the intrinsic interactions between marine microbial distributions and evolution with that of global biogeochemical cycles. Currently, she is focused on using metaproteomics techniques in the Saito Lab at Woods Hole to understand autotrophic microorganisms in oxygen deficient regions of the modern ocean and the impact these primary producers have on global chemical cycles. Jaci actively uses Python and scientific Python packages for genomics analyses as well as the development of metaproteomic data visualization and analysis pipelines. | |
Conor Sayres University of Washington | |
David Shupe Caltech/IPAC David Shupe is a senior staff scientist at Caltech's IPAC astronomy data center, currently working on the Science User Interface team for the Large Synoptic Survey Telescope, and the data system for the Zwicky Transient Facility. He became an enthusiastic proponent of Python after attending the first SciPy conferences at Caltech, and has recently joined the Astropy core development team as a maintainer for astropy.constants. | |
Max Smolens Kitware, Inc. | |
Jennifer Sobeck University of Washington | |
Ion Stoica University of California, Berkeley | |
Kelly Thompson University of Minnesota | |
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. | |
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. | |
Dženan Zukić Kitware, Inc. | |
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 Mehmet Kunt is director of Traffic Education and Research Center and faculty member at the Civil Engineering Department of Eastern Mediterranean University. Kunt obtained his PhD. in 1995 in Transportation Engineering from the University of Texas at Austin, and holds B.S. degree in Civil Engineering and M.S. degree in Transportation Engineering from Middle East Technical University in Turkey and the University of Texas at Austin, respectively. Since 2009 Kunt is exploring ways to use Python both in research and education. Since 2010 he made presentations on the use of Python and its modules both in SciPy and EuroSciPy conferences. | |
David Lampert Oklahoma State University | |
Meagan Lang University of Illinois, Champaign-Urbana | |
Timothy Lang NASA MSFC | |
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. | |
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 | |
Ryan May UCAR/Unidata | |
Matthew McCormick Kitware, Inc. | |
Christian McDaniel University of Georgia Christian McDaniel is a second-year Master’s Student at the University of Georgia’s Institute for Artificial Intelligence conducting machine learning research on neuroimaging, accelerometer, and other data modalities as they relate to Parkinson’s disease and other areas of health and human activity. | |
Thomas Mendoza Lawrence Livermore National Laboratory | |
Simon Mo University of California, Berkeley | |
Philipp Moritz University of California, Berkeley | |
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 | |
Evan Turner Texas Water Development Board | |
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 | |