Dan Cervone

I'm the Principal Data Scientist at Zelus Analytics, where we're building the world's leading sports analytics platform. Prior to this, I spent three seaons at the Los Angeles Dodgers, most recently as Director of Quantitative Research. In 2015, I completed a PhD in Statistics at Harvard University, and then was a Moore-Sloan Data Science Fellow at New York University. My work focuses on spatiotemporal data and hierarchical models, with particular application to sports analytics and player tracking data.