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
Ph.D., physics
Adv: R.M. Levy
2010-2017
American University
B.S., physics, mathematics
2006-2010
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