My research spans human-computer interaction, online learning, and data science.
Philip Guo is an assistant professor of computer science at the University of Rochester (starting in Fall 2014). 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 a professor in Fall 2014, he built online learning tools at Google, edX, and MIT CSAIL.
Philip loves sharing knowledge online. His website pgbovine.net contains over 250 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
These papers represent the kinds of research that I do. See my publications page for a more complete list.
Data-Driven Interaction Techniques for Improving Navigation of
Videos. Juho Kim, Philip J. Guo, Carrie J. Cai, Shang-Wen
(Daniel) Li, Krzysztof Z. Gajos, Robert C. Miller.
ACM Symposium on User Interface Software and Technology (UIST),
Proactive Wrangling: Mixed-Initiative End-User Programming of Data Transformation Scripts.
Philip J. Guo, Sean Kandel, Joseph M. Hellerstein, Jeffrey Heer.
ACM Symposium on User Interface Software and Technology (UIST), October 2011.
See more publications.
Former Students and Alumni
University of Rochester