I am the Senior Director of Generative AI for Drug Discovery and a member of the Founding Team of Prescient Design, a machine learning startup that was acquired and fully integrated by Genentech in 2021. I lead a team developing large-scale foundation models for our Lab-in-the-Loop platform for therapeutic molecular design. My research focuses on machine learning for scientific discovery with applications to biomedicine. Previously, I was Head of Machine Learning of Pfizer R&D, where I led a group focused on developing new ML algorithms for problems across the drug discovery and development pipeline. My background is in statistical machine learning and neuroscience, having worked on my Ph.D. in Computer Science and Statistics. I finished my graduate studies at Columbia University and undergraduate studies at Cornell University.

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Recent Papers

Lab-in-the-loop therapeutic antibody design with deep learning
Nathan C. Frey, Isidro Hötzel, Samuel D. Stanton, Ryan Kelly, Robert G. Alberstein, [...], Ji Won Park, Jaewoo Park, Stephen Ra, Sarah Robinson, Saeed Saremi, Franziska Seeger, Imee Sinha, Anna M. Sokol, Natasa Tagasovska, Hao To, Edward Wagstaff, Amy Wang, Andrew M. Watkins, Blair Wilson, Shuang Wu, Karina Zadorozhny, John Marioni, Aviv Regev, Yan Wu, Kyunghyun Cho, Richard Bonneau, Vladimir Gligorijević
bioRxiv 2025
Paper

Protein discovery with discrete walk-jump sampling
Nathan C. Frey, Daniel Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hötzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijević, Saeed Saremi
ICLR 2024 (Oral)
Paper | Code

Concept bottleneck generative models
Aya Abdelsalam Ismail, Julius Adebayo, Héctor Corrada Bravo, Stephen Ra, Kyunghyun Cho
ICLR 2024
Paper

See the full list of my publications on my Google Scholar