Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Chris Holdgraf

Chris Holdgraf
Community Architect, Data Science Education Program, Berkeley Institute for Data Science


Chris Holdgraf is a data science fellow at the Berkeley Institute for Data Science and a community architect at the Data Science Education Program at UC Berkeley. 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.


4:20pm5:00pm Wednesday, March 27, 2019
Location: 2014
Secondary topics:  Jupyter
Chris Holdgraf (Berkeley Institute for Data Science)
Average rating: ****.
(4.75, 4 ratings)
Chris Holdgraf shares recent tools from the Jupyter project in partnership with UC Berkeley that facilitate communication with Jupyter and get us closer to displaying notebook-style content in a more discoverable and reader-friendly form—allowing you to turn collections of notebooks into an online book and connect this content with the cloud in order to make your online content interactive. Read more.