Daniel Zeng

I am an ML researcher and engineer.

From 2023 to 2026, I was at Genesis Molecular AI, where I worked on machine learning for drug discovery. I built distributed data infrastructure for Pearl, a state-of-the-art protein folding foundation model, and an active learning platform that screens billions of compounds. Before Genesis, I worked on vision model distillation at Google Research.

I studied computer science at Stanford (MS) and UC Berkeley (BA).

GitHub / Scholar / LinkedIn

Publications