Area: Gitter Lab

Daniel McNeela

I perform research in computational drug discovery, applying methods from machine learning to accelerate the lengthy drug development process. Education B.A. in Applied Mathematics, 2017, University of California, BerkeleyM.S. in

Yifan Deng

My work includes the deep learning application in drug discovery and protein design.

Sam Gelman

I am researching the use of neural networks to model the sequence-function space of protein variants and predict the effects of mutations on protein function.

Anthony Gitter

Our computational research spans many biomedical application areas. One common theme is using biological networks to connect diverse data and provide a cohesive view of a cellular process. We develop