Kathy Wu
Software Engineer at Google
Saratoga, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKathy Wu is a software engineer with seven years of experience building scalable systems and machine learning tools, currently working on Google's Agent Development Kit after contributing to the Static Content Service. She has a strong background in machine learning for biology from hands-on research at UC Berkeley and contributions to scvi-tools—implementing and refining probabilistic single-cell models—bridging research-grade ML and production engineering. Her industry experience spans backend systems and infra at Facebook and Instabase, where she implemented privacy-aware routing, rapid-response moderation tooling, and document insights. Kathy pairs deep technical fluency in Python, PyTorch, and C++ with a track record of shipping impactful features in both research and high-scale production environments. She also brings teaching and leadership experience from university mentorship and running a large student-run program, reflecting an ability to communicate complex ideas and coordinate cross-functional work.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of California, BerkeleySaratoga High School
Github Skills (9)
rna-seq10
seq10
pytorch10
machine-learning10
single-cell-genomics10
variational-inference10
deep-learning10
python10
sc10
Programming languages (3)
Github contributions (5)
scverse/scvi-tools
Jan 2021 - Apr 2022
Deep probabilistic analysis of single-cell and spatial omics data
Role in this project:
Data Scientist
Data ScientistContributions:2 reviews, 60 commits, 7 PRs in 1 year 3 months
Contributions summary:Kathy primarily focused on implementing and modifying the `CellAssign` module, a deep probabilistic model for single-cell data analysis within the `scvi-tools` repository. Their contributions involved adding features like covariate terms, initializing key parameters such as `b_g_0` and `basis_means`, and incorporating fixes. These changes suggest a focus on model refinement and feature enhancement within the domain of single-cell genomics and machine learning.
hierarchicaldeep-generative-modelmixture-of-expertssingle-cell-rna-seqsingle-cell
wukathy/wukathy.github.io
Dec 2018 - Nov 2020
Contributions:21 pushes, 1 branch in 1 year 11 months
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