I build software to help people learn.
More jargony summary: I am an empirical and technical HCI researcher who strives to humanize online education.
Philip Guo is an assistant professor of computer science at the University of Rochester. His main research interests are in human-computer interaction (HCI), with a focus on user interfaces for online learning. He created a free Web-based tool for learning programming called Online Python Tutor (pythontutor.com), which has been used by over one million people in over 165 countries. He has previously researched online education at edX and Google.
Philip received a Ph.D. in Computer Science from Stanford University in 2012 and S.B. and M.Eng. degrees in Electrical Engineering and Computer Science from MIT in 2006. His Ph.D. dissertation was one of the first to develop software tools for the unique needs of computational researchers and data scientists.
In 2012, Philip wrote a popular free e-book called The Ph.D. Grind (phdgrind.com), which is the first known detailed account of an entire Ph.D. experience. The Ph.D. Grind has been downloaded over 500,000 times so far. Philip also writes a monthly blog column for the Communications of the ACM, and his personal website (pgbovine.net) gets over 500,000 visitors per year. Philip's articles have appeared in publications from Slate, O'Reilly Media, and NPR.
To get a sense of what research I work on, read these papers:
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),
Online Python Tutor: Embeddable Web-Based Program Visualization for CS Education.
Philip J. Guo.
ACM Technical Symposium on Computer Science Education (SIGCSE), March 2013.
Former Students and Alumni
Ph.D. Committee Advisees
University of Rochester