Bill Flynn, Ph.D.

Assistant Computational Scientist

My research interests are in machine learning, high performance and distributed computing, data reduction, and data visualization.

I received my 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.

Bill Flynn on Google Scholar

Education and experience


Rutgers, The State University of New Jersey
Ph.D., physics
Adv: R.M. Levy

American University
B.S., physics, mathematics