For the past three years, I had been head of machine learning at Foursquare Labs, where I led a five-person team of engineers and machine learning researchers to build the location intelligence technology at the core of Foursquare’s revenue model. Our team prototyped and productionized algorithms powering both the Foursquare API and the Pilgrim SDK. In addition to serving millions of daily users via Foursquare’s own consumer apps (i.e. Swarm and Foursquare), our services reached many more via clients such as Twitter, Uber, Samsung, and Microsoft.
Prior to Foursquare, I was a research scientist at Sense Networks, a location analytics firm, working on a diverse set of problems such as location prediction, place modeling, venue recommendation, and real-time ad targeting. More broadly, I conducted research in machine learning.
I obtained my Ph.D. and M.A. degrees from the computer science department at Princeton University. My thesis focused on the design and analysis of machine learning algorithms for spatiotemporal datasets. My advisor was Robert Schapire. During my time at Princeton, I also interned at Google New York and worked on improving the search quality of Google Squared.
I received my undergraduate degrees from the University of Pennsylvania, where I triple majored in computer science, math, and philosophy.