I’m a Director of Data Science at Uber, leading science and measurement for the platform teams: Maps (Uber’s foundational geospatial tech like routing, ETA prediction, and navigation); Experiment Platforms, ML/AI Platforms, customer support technologies, and financial technologies. We develop models, algorithms, and measurement frameworks to solve business problems, collaborating with engineering and product management.

Before Uber I was a tenured professor at Cornell University, in the School of Operations Research & Information Engineering and the Department of Statistics. My expertise is in statistics, experimental design, predictive modeling, and machine learning.