My research spans human-computer interaction, online learning, and computing education.
Short PDF summary of my research
Learning Programming at Scale (longer summary)
Philip Guo is an assistant professor of cognitive science at UC San Diego. His research spans human-computer interaction, online learning, and computing education. He currently focuses on building scalable systems that help people learn computer programming and data science. Philip is the creator of Python Tutor (pythontutor.com), a code visualization and collaborative learning platform that has been used by over 3.5 million people in over 180 countries to visualize over 30 million pieces of code.
Philip received S.B. and M.Eng. degrees in Electrical Engineering and Computer Science from MIT and a Ph.D. in Computer Science from Stanford. His Ph.D. dissertation was one of the first to create tools for data scientists. Before becoming a professor, he built online learning tools as a software engineer at Google, a research scientist at edX, and a postdoc at MIT. Philip's website pgbovine.net contains over 400 articles, videos, and podcast episodes and gets over 750,000 page views per year.
Awards and Honors
Selected Press and Media
UC San Diego
University of Rochester