Raphaël is a PhD Fellow in the Stanford AI Lab, working within Professor Ron Dror’s group. His research interests include machine learning, structural biology, high performance computing, and computer vision. More broadly, he is interested in connecting the worlds of biology and computation in novel ways.
PhD in Computer Science, 2014-present
BS in Electrical Engineering and Computer Science, 2010-2014
University of California, Berkeley
We investigate the role of GPCR phosphorylation in modulating arrestin binding and conformation, revealing the structural basis for the long-standing “barcode” hypothesis.
We build a “dataset of datasets” to help explore the possibilities of three-dimensional molecular learning.
We use a novel class of neural network architectures to accurately predict the structures of 3D protein complexes.
We combine graph and geometric aspects of biomolecular structure within a single unified framework.
We present a 100x-sized protein interface prediction dataset and achieve state-of-the-art results through using 3DCNNs.