I study human-computer interaction and online learning.
Philip Guo is an assistant professor of computer science at the University of Rochester. His research spans human-computer interaction, online learning, software engineering, 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 13 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 2014, he built online learning tools at Google, edX, and MIT CSAIL.
Philip is passionate about 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 give an overview of the kinds of research that I do:
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,
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 all publications.
Former Students and Alumni
University of Rochester