I am an applied statistician specializing in translational genetics and computational omics, focused on developing methods for systematic analysis to dissect molecular mechanisms, prioritize gene targets and pathways, and predict disease risk in complex diseases by leveraging large-scale biobanks and multi-omics data.

I’m currently a postdoctoral research fellow in the Genetic Epidemiology and Statistical Genetics Program at Harvard T.H. Chan School of Public Health. I obtained my Ph.D. in statistics from the University of Massachusetts Amherst. During my Ph.D., I interned in the industry at Roche and Novartis. Prior to that, I was a computational scientist for 3.5 years at The Jackson Laboratory and obtained an MS in Bioinformatics.

“An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.” - John Tukey

Specialties: Biostatistics, Multiomics, Statistical Genetics, Machine Learning.