John Cherian is involved in the development of improved force fields for biomolecular simulation. He received a B.S. with distinction in mathematical and computational science and an M.S. in statistics from Stanford University. As an undergraduate, John served as a research assistant in Stanford's Department of Statistics, where he analyzed the randomization time of the "overhand shuffle". He also performed research in Stanford's Holmes Lab, where he conducted a longitudinal analysis of microbiome data and then developed and implemented a novel model to handle non-Gaussian count data. In his free time, John enjoys following national politics and exploring New York City's many museums.