His research spans human-computer interaction, online learning, and data science. To enable learning programming at scale, he created Python Tutor (pythontutor.com), a code visualization and social learning platform that has been used by over 1.5 million people in over 180 countries to visualize over 15 million pieces of code. Philip received S.B. and M.Eng. degrees in EECS from MIT in 2006 and a Ph.D. in Computer Science from Stanford in 2012. His Ph.D. dissertation was one of the first to create productivity tools for data scientists. Before becoming an assistant professor in Fall 2014, he built online learning tools at Google, edX, and MIT CSAIL. Learn more at www.pgbovine.net.