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Amy Wang I’m a machine learning scientist working on generative models, LLM evaluation, and agentic systems for protein and antibody design. My work focuses on sequence-based modeling, affinity and developability prediction, and building discovery workflows that integrate biophysical constraints with experimental data. As a Senior ML Scientist at Prescient Design (Genentech), I’ve developed ML methods in close partnership with experimental teams. My work has been adopted across the antibody portfolio, spanning discovery, developability optimization, and model evaluation. I also have a decade of wet lab experience. I earned my PhD in Chemical Engineering from Stanford University in 2023, where I studied force-dependent cell adhesion proteins. As an undergraduate at MIT, I worked on protein–polymer systems for drug delivery.
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