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!). His research spans human-computer interaction, online learning, and computing education. 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 two 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. From 2014 to 2016, he was an assistant professor of computer science at the University of Rochester.
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.
This four-page research statement and accompanying hour-long talk summarize my current research vision:
Awards and Honors
Current Research Students
Former Research Students
These papers represent the kinds of research that I do. See my publications page for a more complete list.
Codeopticon: Real-Time, One-To-Many Human Tutoring for Computer
Philip J. Guo. ACM Symposium on User Interface Software
and Technology (UIST), Nov 2015.
How Video Production Affects Student Engagement: An Empirical Study
J. Guo, Juho Kim, Rob Rubin. ACM Conference on Learning at Scale,
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.
Burrito: Wrapping Your Lab Notebook in Computational Infrastructure.
Philip J. Guo and Margo Seltzer.
USENIX Workshop on the Theory and Practice of Provenance (TaPP), June 2012.
See more publications.
UC San Diego
University of Rochester