About Me

I am a Principal Machine Learning Scientist at Genentech, where I lead efforts to develop foundation models and generative AI models for human DNA.

By combining large-scale genomics with deep learning, I build models that understand the underlying regulatory logic of the human genome. This work is critical for identifying disease drivers, discovering novel drug targets, and designing the next generation of therapeutics.

Before joining Genentech, I spent my career at the intersection of technology innovation and biological research:

• insitro: Applied AI to target discovery for neurological diseases.
• NVIDIA: Developed GPU-accelerated solutions for the life sciences.
• Stanford University: Postdoctoral research in computational biology and cancer genomics.

I am passionate about advancing our ability to read and write the code of life. I frequently speak on the future of AI in medicine and love connecting with others who are building at this frontier.