I am the Principal Data Scientist at iRobot, specializing in predictive modeling of complex systems, algorithm design, and general purpose machine learning.

I love solving puzzles and building things. Practicing data science gives me the opportunity to do both in equal measure. Like most data scientists, I came to the field indirectly. I started by studying robotics and human rehabilitation at MIT (MS ’99, PhD ’02), moved on to machine vision and machine learning at Sandia National Laboratories, then to predictive modeling of agriculture DuPont Pioneer, and cloud data science at Microsoft. Now at Facebook I work to get internet and electrical power to those in the world who don’t have it, using deep learning and satellite imagery. In my spare time I like to rock climb, write robot learning algorithms, and go on walks with my wife and our dog, Reign of Terror.