# Participants #### Project Lead: Lorena A. Barba [Lorena A Barba](http://lorenabarba.com) is Associate Professor of Mechanical and Aerospace Engineering at the George Washington University. She adopted Jupyter in 2013 and since then used it in every course she teaches. Her open course materials are well known and used by thousands of learners: [CFD Python](http://lorenabarba.com/blog/cfd-python-12-steps-to-navier-stokes/) and [Numerical MOOC](https://openedx.seas.gwu.edu/courses/course-v1:MAE+MAE6286+2017/about) are the best examples. On Twitter: [@LorenaABarba](https://twitter.com/LorenaABarba).. ---------- ### In-person participants *November 28–30 2018, Washington DC* #### Lecia J. Barker Lecia Barker is an Associate Professor and Associate Chair of Undergraduate Studies in the [Department of Information Science at the University of Colorado Boulder][1]. She is also a Senior Research Scientist for the [National Center for Women & IT][2]. Her research group is studying the [diffusion and adoption of teaching practices][3] in undergraduate computer science. Lecia holds a Ph.D. in Communication from CU Boulder and an MBA in Marketing from San Diego State University. #### Douglas Blank [Douglas Blank][4] is Associate Professor in the [Department of Computer Science][5] at [Bryn Mawr College][6], a small, all-women's college outside of Philadelphia, PA, USA. He has a joint Ph.D. in Cognitive Science and Computer Science from Indiana University, Bloomington. For over 20 years, Douglas has taught all levels of Computer Science. For the last 4 years, he has used Jupyter notebooks exclusively in the classroom. Douglas has published in the areas of Computer Science Education, Robotics, Artificial Intelligence, and Deep Learning. He is on the advisory board of [Engage-CSEdu.org][7], a joint project between Google and the National Center for Women and Information Technology (NCWIT). Douglas also writes text and code at his website [douglasblank.com][8]. On Twitter: [@DougBlank](https://twitter.com/DougBlank). #### Jed Brown [Jed Brown](https://jedbrown.org) is an Assistant Professor of Computer Science at the University of Colorado Boulder. He has been teaching numerical and scientific computing courses using Jupyter Notebook and nbgrader for three years, and leads a research group that develops computational methods and community software for computational science. On Twitter: [@five9a2](https://twitter.com/five9a2). #### Allen Downey [Allen Downey](https://allendowney.com) is a professor of Computer Science at Olin College and the author of a series of open-source textbooks related to software and data science, including *Think Python*, *Think Bayes*, and *Think Complexity*, published by O’Reilly Media. These books, and the classes based on them, use Jupyter notebooks extensively. Prof Downey holds a Ph.D. in computer science from U.C. Berkeley, and M.S. and B.S. degrees from MIT. On Twitter: [@AllenDowney](https://twitter.com/AllenDowney). #### Tim George [Timothy George](https://www.tgeorgeux.com) is the Lead UI/UX Designer for [Project Jupyter](https://jupyter.org), focusing primarily on JupyterLab. In addition to his formal duties, Tim is also in working with Jupyter on design strategy, future products, governance, diversity and inclusion. He studied HCI at UC Irvine's Donald Bren School of Informatics and Computer Science where he received a Master's Degree. #### Lindsey Heagy [Lindsey Heagy](https://lindseyjh.ca) is a Postdoctoral researcher at the University of California Berkeley working on Project Jupyter and Jupyter in the geosciences. She recently completed her PhD at the University of British Columbia in geophysics. She is a project leader of [GeoSci.xyz](https://geosci.xyz), an effort to build collaborative, interactive, web-based textbooks in the geosciences, and a core contributor to [SimPEG](https://www.simpeg.xyz/), an open source framework for geophysical simulation and inversions. The [GeoSci.xyz](https://geosci.xyz) project relies heavily on Jupyter for making the content come to life. On Twitter: [@lindsey_jh](https://twitter.com/lindsey_jh). #### Kyle Mandli [Kyle Mandli](https://www.columbia.edu/~ktm2132) is an assistant professor in the department of Applied Physics and Applied Mathematics at Columbia University. He has developed a set of openly available course notes centered around Jupyter notebooks and uses Jupyter for homework in conjunction with nbgrader. His other research interests include development of computational methods for coastal hazards such as storm surge and tsunamis. On Twitter: [@KyleMandli](https://twitter.com/KyleMandli). #### Jason Moore [Jason Moore](http://moorepants.info) is an Assistant Teaching Professor of Mechanical and Aerospace Engineering at the University of California, Davis. He teaches dynamics and mechanical design related courses. He utilizes Jupyter notebooks to teach modeling and simulation and is working on a textbook about [Mechanical Vibrations](https://moorepants.github.io/resonance). He is also a core developer of the [SymPy](http://sympy.org) and [PyDy](http://pydy.org) projects. Jason has PhD, MSc, and BSc degrees in mechanical engineering from UC Davis and Old Dominion University. On Twitter: [@moorepants](https://twitter.com/moorepants). #### David Lippert David Lippert is a software engineer at Leidos in Arlington, Virginia. He utilizes jupyter notebooks primarily for exploratory data analysis and for training and evaluating machine learning algorithms. He has written jupyter notebooks to create new Dr. Suess sonnets and to evaluate if the rotten tomato tomatometer can be trusted. He has a BA in computer science from Middlebury College. #### Kyle Niemeyer [Kyle Niemeyer](https://niemeyer-research-group.github.io) is an Assistant Professor of Mechanical Engineering in the [School of Mechanical, Industrial, and Manufacturing Engineering](https://mime.oregonstate.edu) at [Oregon State University](https://oregonstate.edu). He teaches courses in numerical and analytical methods for solving differential equations as well as gas dynamics, and recently developed a [graduate course on software development for engineering research](https://softwaredevengresearch.github.io/syllabus/). His research group develops and applies methods for modeling combustion and chemically reacting fluid flows. On Twitter: [@kyleniemeyer](https://twitter.com/kyleniemeyer). #### Ryan Watkins Ryan Watkins is a Professor of Educational Technology at George Washington University in Washington DC. He leads the [Human-Technology Collaboration (HTC)](https://go.gwu.edu/phd) PhD program area, and he teaches courses in needs assessment, instructional design, and research methods. Ryan's research focuses on how people and organizations define and assess needs. He is co-host of [Parsing Science](https://parsingscience.org), a podcast where researchers share the stories behind their science. He also developed the [We Share Science](https://wesharescience.org) platform for sharing video abstracts of research. On Twitter: [@parsingscience](https://twitter.com/parsingscience). #### Richard West [Richard West](http://www.che.neu.edu/people/west-richard) is Associate Professor of Chemical Engineering at Northeastern University in Boston. He leads a research group in computational modeling for complex reacting systems like combustion or catalysis. He is a core member of the [Cantera](https://cantera.org) open-source project. As well as in an elective on "computational modeling in chemical engineering", he has integrated Python and Jupyter into core classes on chemical kinetics and reactor design, at both the undergraduate and graduate levels. As part of his NSF CAREER award, he is developing modules to teach students to use Python and SciPy to solve chemical engineering problems. On Twitter: [@richardhwest](https://twitter.com/richardhwest). #### Elizabeth Wickes [Elizabeth Wickes](https://ischool.illinois.edu/people/elizabeth-wickes) is a Lecturer at the School of Information Sciences at the University of Illinois at Urbana-Champaign. She teaches foundational programming from an information and data sciences perspective, as well as other coursework on open data and reproducibility. Her programming course lectures are written in Jupyter Notebooks and the class is taught via live coding. On Twitter: [@elliewix](https://twitter.com/elliewix). #### Carol Willing [Carol Willing](https://www.willingconsulting.com/about/) is a Research Software Engineer at Cal Poly San Luis Obispo working full-time on Project Jupyter. She is a Python Software Foundation Fellow and former Director; a Project Jupyter Steering Council member; and a core developer on CPython and Jupyter. Carol has an M.S. in Management from MIT and a B.S.E. in Electrical Engineering from Duke. On Twitter: [@WillingCarol](https://twitter.com/WillingCarol). #### Michael Zingale [Michael Zingale](http://www.astro.sunysb.edu/mzingale/) is an Associate Professor and computational astrophysicist at Stony Brook University. He has a PhD from University of Chicago (2000). He frequently teaches [numerical methods](http://bender.astro.sunysb.edu/classes/numerical_methods/) and [python for scientific computing](http://bender.astro.sunysb.edu/classes/python-science/) graduate courses, relying on Jupyter notebooks and python for much of the presentation. He is an advocate for open educational resources, as a founder of the [Open Astrophysics Bookshelf project](https://github.com/Open-Astrophysics-Bookshelf/) where he hosts his [Introduction to Computational Astrophysical Hydrodynamics](http://bender.astro.sunysb.edu/hydro_by_example/CompHydroTutorial.pdf) text. On Twitter: [@Michael_Zingale](https://twitter.com/Michael_Zingale). ---------- ### Remote participants #### Robert Talbert [Robert Talbert](https://rtalbert.org) is Professor and Assistant Chair in the Department of Mathematics at [Grand Valley State University](http://www.gvsu.edu). Robert teaches a wide range of mathematics courses and conducts research in undergraduate mathematics education, with a focus on flipped learning and technology-enabled active learning. He has been teaching with Jupyter notebooks, primarily in Discrete Structures (math for CS majors) since 2013. He is the author of the book Flipped Learning: A Guide for Higher Education Faculty (Stylus, 2017) and is a frequent workshop facilitator and keynote speaker on teaching and learning in the US and abroad. On Twitter: [@RobertTalbert](https://twitter.com/RobertTalbert). #### Greg Wilson [Greg Wilson](http://third-bit.com) has worked as a programmer and teacher, and is the author or editor of several books, most recently *[Teaching Tech Together](http://teachtogether.tech)*. He is best known as the co-founder of [Software Carpentry](http://software-carpentry.org), a non-profit organization that teaches basic computing skills to researchers. He received a PhD in Computer Science from the [University of Edinburgh](https://www.ed.ac.uk/) in 1993, and now works for [RStudio](https://www.rstudio.com/). On Twitter: [@gvwilson](https://twitter.com/gvwilson). [1]: https://www.colorado.edu/cmci/infoscience [2]: https://www.ncwit.org/ [3]: https://csteachingpractices.wordpress.com/ [4]: https://cs.brynmawr.edu/~dblank/ [5]: https://cs.brynmawr.edu/ [6]: http://brynmawr.edu [7]: http://Engage-CSEdu.org [8]: http://douglasblank.com