Tianshi 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 Center
Bachelor of Science - BS, Bachelor of Science - BS at Xiamen University
Contributions:43 commits, 41 pushes, 1 tag in 3 years 5 months
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