Published 52 peer-reviewed publications, including 20 as first or last author. PI of a >$1M R01 NIH grant (“Statistical methods in mHealth to signal interventional needs for mental health patients”). Led several internal seed grants at Penn and contributed to numerous NIH awards as a co-I.
Research Experience
Joined the University of Pennsylvania as a tenure-track Assistant Professor of Biostatistics in 2017. Left Penn in 2024 to found Seam, a sports analytics company, providing decision-making guidance for professional sports teams based on cutting-edge predictive modeling. The flagship product is the Generative AI MLB Engine (GAME), based on 27 in-house models.
Education
Graduated with a B.S. in Mathematical and Computational Sciences with Honors from Stanford University in 2010; Graduated with a Ph.D. in Biostatistics from Harvard University in 2014 and continued at Harvard as a postdoc until 2017.
Background
From professor to founder, statistically grounded expertise in predictive modeling, machine learning, and AI. My research spans applications from biostatistics to sports analytics.
Miscellany
Long history of mentoring students from undergraduate to postdoctoral. Supervised 31 mentees at the University of Pennsylvania. Taught the PhD-level Longitudinal Data Analysis course for six years and organized and led the Digital Health working group. Frequently presented at the Wharton Sports Analytics and Business Initiative working group and at Wharton Moneyball Academy.