I love solving puzzles and building things, and machine learning applications let me do both. I started by studying robotics and human rehabilitation at MIT (MS ’99, PhD ’02), moved on to machine vision and complex system modeling at Sandia National Laboratories, then to predictive modeling of agriculture DuPont Pioneer, and cloud data science at Microsoft.
At Facebook I worked to get internet and electrical power to those in the world who don’t have it, using deep learning and satellite imagery, and to do a better job identifying topics reliably in unstructured text. Now at iRobot I visualize fleet data to help 30 million cleaning robots do their job better.
I also get an enormous amount of satisfaction from teaching data science and machine learning at e2eml.school.