Jeremy Freeman
New York, New York, United States
Summary
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RockstarJeremy Freeman is a science-driven engineering leader with 13 years of experience building open-source tools and growing cross-functional research organizations, currently based in New York. He has led teams at institutions like the Chan Zuckerberg Initiative and HHMI, helping steer philanthropic investment, launch community science platforms, and scale software used by millions (e.g., mybinder.org). A hands-on full-stack contributor, Jeremy has added visualization, CLI, and rendering features to high-profile projects such as Altair, cellxgene, and Apache Spark, and enhanced interactive visualization servers like lightning-viz. He combines deep academic training (PhD in Neuroscience from NYU and 15+ papers) with product-oriented engineering to make complex scientific data accessible and reproducible. Notably, he helped fund and operationalize open science infrastructure—supporting the Human Cell Atlas and bioRxiv—while also shipping code that improves everyday data exploration. He brings a rare blend of community-building, technical craftsmanship, and strategic leadership to large-scale science and open-source efforts.
13 years of coding experience
Github Skills (45)
data-visualizations10
javascript10
spark10
visualization10
python10
vega10
machine-learning10
data-visualisation10
ml10
linear-regression10
scala10
numpy10
html10
logistic-regression10
data-visualization10
Programming languages (13)
Github contributions (5)
lightning-viz/lightning
Sep 2014 - Sep 2015
Data Visualization Server
Role in this project:
Front-end Developer
Front-end DeveloperContributions:2 releases, 58 commits, 5 PRs in 1 year
Contributions summary:Jeremy primarily focused on enhancing the data visualization capabilities of the project. They added customizable colors to scatter plots and implemented a zoomable force-directed network visualization. Furthermore, the user integrated a matrix plot type, expanded the range of available visualization options. They also made adjustments to the electron menu bar.
data-visualization
chanzuckerberg/cellxgene
May 2018 - Dec 2018
An interactive explorer for single-cell transcriptomics data
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:9 commits, 17 PRs, 65 pushes in 7 months
Contributions summary:Jeremy contributed to both the front-end and back-end aspects of the cellxgene project. They addressed a bug in the graph component, incorporating a distance inverse term to improve functionality, and made updates to the color scaling logic. Furthermore, the user implemented a CLI tool using scanpy for dataset preparation and refactored the CLI structure for improved user experience. The user's work encompasses diverse aspects of the project, from data visualization to command-line interface development.
transcriptomicsscientificvisualizationscrna-seqdataviz
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