George Chen is a postdoc at MIT in Electrical Engineering and Computer Science. He teaches, develops, studies, and applies machine learning and data analysis tools. His work has spanned a diverse range of applications such as forecasting trends on Twitter, recommending products to people in systems like Netflix, finding human organs in medical images, and detecting buildings and villages in massive satellite images to help plan infrastructure development projects. George received his S.M. (2012), E.E. (2014), and Ph.D. (2015) degrees from the Electrical Engineering and Computer Science department at MIT, where he received the George M. Sprowls award for best Ph.D. thesis in Computer Science (2015). He previously completed his B.S. (2010) at UC Berkeley, dual majoring in Electrical Engineering and Computer Sciences, and Engineering Mathematics and Statistics. George enjoys teaching and has taught at the high school, undergraduate, and graduate levels, receiving teaching awards at UC Berkeley and MIT including the top graduate student teaching award at MIT, the Goodwin Medal (2015). His work with GridForm on analyzing satellite images to help bring electricity to rural India won the $10,000 grand prize at MIT's IDEAS Global Challenge 2014 for innovation and entrepreneurship in public service.