Doris Lee
Product at Felicis
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDoris Lee is an AI/ML product leader and founder with 12 years of experience building data-first tools that scale, currently leading product for AI/ML at Snowflake after her startup Ponder—born from her PhD research at UC Berkeley’s RISE Lab—was acquired in 2023. She combines deep academic roots in databases and HCI (creator-contributor to the Lux visualization library) with hands-on engineering across backend and full-stack open-source projects like Modin and yt. As a former CEO who shipped a product founded on Modin and now advises and angel-invests in early-stage technical founders, she blends operator grit with investor instincts. Her open-source contributions span performance-sensitive numerical fixes to front-end interactive visualizations and docs that make complex tooling more accessible. Based in Bellevue, WA, she brings a rare mix of research rigor, product leadership, and practical engineering empathy to data and ML platform challenges.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Information Management and Systems, Doctor of Philosophy - PhD Information Management and Systems at University of California, BerkeleyHigh School, High School at Burnaby South Secondary SchoolDoctor of Philosophy - PhD (Transferred) Computer Science, Doctor of Philosophy - PhD (Transferred) Computer Science at University of Illinois Urbana-Champaign
English, Mandarin, Chinese
Github Skills (20)
debug10
javascript10
python10
dataframes10
modin10
numpy10
dataframe10
scientific-computing10
documentation10
pandas9
front-end-development9
data-analysis9
react8
user-data8
data-model8
Programming languages (7)
Github contributions (5)
lux-org/lux
Jan 2020 - Feb 2022
Automatically visualize your pandas dataframe via a single print! 📊 💡
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:12 releases, 269 reviews, 454 commits in 2 years 1 month
Contributions summary:Doris contributed to the codebase with a focus on UI components, bug fixes, and overall project refactoring. Their commits include fixes for issues related to the demo examples and implementing interactive elements within the frontend widget, including the selection of charts from a list. They also refactored existing code, demonstrating a general understanding of the project's structure.
data-analysispythondata-sciencedataframevisualize
modin-project/modin
Nov 2021 - Mar 2022
Modin: Scale your Pandas workflows by changing a single line of code
Role in this project:Technical Writer
Technical WriterContributions:103 reviews, 7 commits, 10 PRs in 3 months
Contributions summary:Doris Lee's contributions primarily focused on enhancing the documentation for the Modin project. They added instructions for Google Colab setup, improved documentation regarding out-of-core data handling and Modin's comparison with Dask, and updated the "Getting Started" section, including the addition of a quickstart notebook and bar chart comparisons. This work significantly improved the accessibility and clarity of the project's documentation for new users.
analyticspythonline-of-codedata-sciencedataframe
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