Joshua Lin is a Senior Machine Learning Scientist with eight years of experience applying deep learning, Bayesian statistics, and mathematical methods to scientific problems. Trained as a physicist with a PhD from UIUC and earlier degrees from top Taiwanese universities, he has moved from academic research and internships at Google and the Simons Foundation to an accelerator role at Genentech where he now leads ML efforts in Prescient Design. He blends rigorous theoretical grounding with hands-on model development for real-world biotech applications, transitioning from postdoc to senior scientist within the same initiative. Colleagues describe him as someone who navigates between abstract probabilistic reasoning and practical deployment, bringing clarity to complex scientific questions. Based in New York, he combines cross-disciplinary collaboration with a track record of turning physics-driven insight into actionable ML solutions.
8 years of coding experience
9 years of employment as a software developer
Master of Science (M.S.), Physics, Master of Science (M.S.), Physics at National Taiwan University
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Illinois Urbana-Champaign
Bachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at National Tsing Hua University
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