Brookie Guzder-williams
Senior Data Scientist, The Eric & Wendy Schmidt Center For Data Science & Environment At Berkeley
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolBrookie Guzder-williams is a Senior Data Scientist at the Eric & Wendy Schmidt Center for Data Science & Environment at Berkeley, bringing 11 years of experience applying machine learning and satellite imagery to study stresses on Earth’s natural resources. Trained as a theoretical physicist with a Ph.D. in string theory and an NSF International Postdoctoral Fellowship, she bridges deep mathematical rigor with practical, impact-driven environmental data science. Her background spans founding startups, technical fellowships at Radiant Earth, and hands-on engineering—she has contributed backend improvements to the widely used Jupyter Notebook project to make server management more robust. Based in San Francisco, she combines academic pedigree and production-grade coding to translate complex geospatial science into actionable sustainability insights.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.), Physics and Mathematics, Summa Cum Laude, Bachelor of Arts (B.A.), Physics and Mathematics, Summa Cum Laude at University of Colorado at BoulderDoctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics, Doctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics at University of California, Santa Barbara
English, Spanish
Github Skills (6)
jupyter-notebook10
python10
cli9
command-line9
process-management9
command-line-interface9
Programming languages (8)
Github contributions (5)
jupyter/notebook
Apr 2017 - Apr 2017
Jupyter Interactive Notebook
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 1 PR, 10 comments in 4 days
Contributions summary:Brookie contributed to the `jupyter/notebook` repository by implementing and refactoring features related to stopping notebook servers through the command line. They introduced the `NbserverStopApp` and made changes to handle port-based server termination. Furthermore, the user refined the code by removing unused properties, switching from `subprocess.Popen` to `os.kill` for process termination, and improved error handling by exiting if the target server wasn't found. These changes demonstrate a focus on improving the utility and robustness of the notebook server management tools.
jupyterjupyter-notebooknotebook
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