Yan Wu
Computational Scientist II
United States
Summary
👤
Senior🎓
Top SchoolYan Wu is a Computational Scientist II with a decade of experience at the intersection of machine learning and computational biology, currently building multimodal bio foundation models at Altos Labs. With a PhD in Bioengineering from UCSD and a strong computational grounding from Princeton, Yan has developed novel single-cell methods (like SWNE), integrated multi-omic datasets to decode human brain development, and applied in-silico screening to drive therapeutic decisions in lung disease and immuno-oncology. He blends academic rigor with product-focused discovery, translating complex single-cell and CRISPR screen data into actionable insights for drug discovery. Based in San Diego, Yan brings both research leadership and hands-on ML modeling skills, uniquely fluent in both algorithm development and practical translational impact.
10 years of coding experience
2 years of employment as a software developer
University of California San DiegoBachelor of Science in Engineering (BSE), Chemical and Biological Engineering, Computer Science, Bachelor of Science in Engineering (BSE), Chemical and Biological Engineering, Computer Science at Princeton University
Github Skills (72)
weighted10
variational-autoencoder10
autoencoder10
single-cell-genomics10
hierarchical10
similarity10
cran10
single-cell-analysis9
topological-data-analysis9
datasets9
density-estimation9
embedding9
genomics9
temporal-data9
probabilistic9
Programming languages (4)
Github contributions (5)
yanwu2014/SEUSS-Analysis
Nov 2017 - Mar 2019
Contributions:19 commits, 17 pushes, 1 branch in 1 year 4 months
yanwu2014/swne
Dec 2017 - Mar 2021
Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
Contributions:238 commits, 6 PRs, 214 pushes in 3 years 2 months
deep-learningmethodmachine-learningdimensionalsimilarity
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