JupyterCon 2020

Project Jupyter


October 12, 2020 to October 17, 2020
9:00am to 6:00pm
Virtual Participation


$0 - $350


BIDS Faculty Affiliate and Jupyter co-founder Fernando Pérez will be a featured presenter at JupyterCon 2020 on October 5-17, 2020. BIDS Faculty Affiliate Cathryn Carson and former BIDS Data Science Fellow Chris Holdgraf will also present. All sessions will take place virtually:
--- 5-9 October: Tutorials 
--- 12-16 October: Conference 
--- 17 October: Sprints

JupyterCon 2020 banner logoJupyterCon brings together data scientists, business analysts, researchers, educators, developers, core Project contributors, and tool creators for in-depth training, insightful keynotes, and practical talks exploring the Project Jupyter platform. We developed a vision for JupyterCon Online as a learning platform, unconstrained by synchronous schedules or geographical location, coalescing a multitude of mini-events and rad new content, learning experiences, and online social interactions.


Fernando Pérez

Associate Professor, Statistics, UC Berkeley

Fernando Pérez is an assistant professor in Statistics at UC Berkeley and a Faculty Scientist in the Department of Data Science and Technology at Lawrence Berkeley National Laboratory. After completing a PhD in particle physics at the University of Colorado at Boulder, his postdoctoral research in applied mathematics centered on the development of fast algorithms for the solution of partial differential equations in multiple dimensions.  Today, his research focuses on creating tools for modern computational research and data science across domain disciplines, with an emphasis on high-level languages, interactive and literate computing, and reproducible research.  He created IPython while a graduate student in 2001 and co-founded its successor, Project Jupyter. The Jupyter team collaborates openly to create the next generation of tools for human-driven computational exploration, data analysis, scientific insight and education.

He is a National Academy of Science Kavli Frontiers of Science Fellow and a Senior Fellow and founding co-investigator of the Berkeley Institute for Data Science.  He is a co-founder of the NumFOCUS Foundation, and a member of the Python Software Foundation. He is the recipient of the 2012 Award for the Advancement of Free Software from the Free Software Foundation.

Cathryn Carson

Professor, History, UC Berkeley

Cathryn Carson holds the Thomas M. Siebel Presidential Chair in the History of Science at the University of California, Berkeley. Before receiving her Ph.D. in History of Science from Harvard University, she was trained in condensed matter physics. Her research deals with the intellectual, political, and institutional history of contemporary science, including theoretical physics and data science. She has served as Associate Dean of Social Sciences, founding Director of the Social Sciences Data Laboratory (D-Lab), founding Senior Fellow of the Berkeley Institute for Data Science, Faculty Lead of the Data Science Education Program, and Chair of the Faculty Advisory Board for Berkeley's Data Science Planning Initiative, which developed the blueprint for Berkeley’s organizational realignment around data science. In 2019-20, she served as Associate Dean for Strategy and Planning for the Division of Computing, Data Science, and Society.

Chris Holdgraf

Alumni - BIDS Postdoctoral Researcher

Chris Holdgraf was formerly a BIDS Data Science Fellow and Community Architect for UC Berkeley's Data Science Education Program. His background is in cognitive and computational neuroscience, where he used predictive models to understand the auditory system in the human brain. He's interested in the boundary between technology, open-source software, and scientific workflows, as well as creating new pathways for this kind of work in science and the academy. He's a core member of Project Jupyter, specifically working with JupyterHub and Binder, two open-source projects that make it easier for researchers and educators to do their work in the cloud. He works on these core tools, along with research and educational projects that use these tools at Berkeley and in the broader open science community.