My research spans human-computer interaction, online learning, and computing education.
Philip Guo is an assistant professor of Cognitive Science at UC San Diego (Go Tritons!), with an affiliate faculty appointment in Computer Science and Engineering. His research spans human-computer interaction, online learning, and computing education. He has recently been focusing on scalable ways to help people learn computer programming 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 2.5 million people in over 180 countries to visualize over 20 million pieces of code.
Philip received S.B. and M.Eng. degrees in Electrical Engineering & Computer Science 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 a professor, he built online learning tools as a software engineer at Google and as a postdoc at edX and MIT CSAIL.
Philip's website pgbovine.net contains over 300 articles (including The Ph.D. Grind) and gets over 750,000 page views per year. He has also written for MIT Technology Review, O'Reilly Radar, Quartz, and Slate.
Awards and Honors
Current Research Students
Former Research Students
UC San Diego
University of Rochester