Tianshi Lu
Senior Scientist at Genentech
South San Francisco, California, United States
Summary
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Senior🎓
Top SchoolTianshi Lu is a Senior Scientist at Genentech with eight years of experience applying deep learning, Bayesian modeling, and classical machine learning to computational biology and immuno-oncology. He holds a PhD from UT Southwestern and has authored work in top-tier journals such as Cell and Science Immunology, reflecting a strong track record in translational and reverse-translation research. Comfortable across R, Python, SQL and major ML frameworks (TensorFlow, PyTorch, Keras), he builds production-ready models that bridge bioinformatics, statistics, and clinical insight. His background includes modeling neoantigen clonal dynamics and immunoprotein binding, a niche that combines immunology with algorithmic rigor to predict therapy response. Based in South San Francisco, he blends academic publication pedigree with industry impact, often pushing probabilistic approaches into real-world drug discovery problems.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at UT Southwestern Medical CenterBachelor of Science - BS, Bachelor of Science - BS at Xiamen University
Github Skills (6)
bayesian9
mutation9
bayesian-inference8
pipeline7
deep-learning7
sequencing3
Programming languages (5)
Github contributions (5)
tianshilu/QBRC-Somatic-Pipeline
Aug 2018 - Feb 2022
QBRC Somatic Mutation Calling Pipeline
Contributions:1 release, 66 commits, 2 PRs in 3 years 5 months
somaticcallingmutationpipeline
tianshilu/pMTnet
Nov 2019 - Jun 2022
Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
Contributions:1 release, 91 commits, 1 PR in 2 years 6 months
deep-learning
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