My research interests are in machine learning, high performance and distributed computing, data reduction, and data visualization.
I received my Ph.D.in physics from Rutgers University – New Brunswick in October 2017. During my Ph.D. work, I used machine learning to understand complex epistatic interactions among networks of correlated amino acid substitutions in protein sequence alignments, and I built distributed computational grids to run large parallel molecular dynamics simulations of protein-ligand binding. Here at JAX, I will apply machine learning techniques to new problems at the forefront of genomics and molecular biology.
Rutgers, The State University of New Jersey
Adv: R.M. Levy
B.S., physics, mathematics