Philip Guo (Phil Guo, Philip J. Guo, Philip Jia Guo, pgbovine)

My research spans human-computer interaction, programming tools, and online learning.

Publications | Google Scholar | Curriculum Vitae


Philip Guo is an assistant professor of Cognitive Science and an affiliate assistant professor of Computer Science and Engineering at UC San Diego. His research spans human-computer interaction, programming tools, and online learning. He now focuses on building scalable systems that help people learn computer programming and data science. He is the creator of Python Tutor (http://pythontutor.com/), a widely-used code visualization and collaborative learning platform. So far, over 3.5 million people in over 180 countries have used it to visualize over 50 million pieces of Python, Java, JavaScript, C, C++, and Ruby code. In addition, his papers have won Best Paper and Honorable Mention awards at the CHI, UIST, and ICSE conferences.

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 programming 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 http://pgbovine.net/ contains over 500 articles, videos, and podcast episodes and gets over 750,000 page views per year.

(high-resolution photo for promotional materials)

Awards and Honors

  • CHI Honorable Mention Paper Award, 2018
  • UIST Honorable Mention Paper Award, 2017
  • CHI Honorable Mention Paper Award, 2017
  • Google Faculty Research Award, 2015
  • CHI Honorable Mention Paper Award, 2014
  • ICSE Software Engineering In Practice Best Paper Award, 2012
  • ACM SIGSOFT Distinguished Paper Award, 2009
  • CHI Honorable Mention Paper Award, 2009
  • NSF and NDSEG Ph.D. Fellowships, 2006–2011
  • MIT EECS Master's Thesis Award in Computer Science, 2006

Selected Talks and Press

Graduate Students

  • Charles Chen (masters, Computer Science & Engineering)
  • Kandarp Khandwala (masters, Computer Science & Engineering)
  • Priyan Vaithilingam (masters, Computer Science & Engineering)
  • Ian Drosos (Ph.D., Cognitive Science)
  • Sean Kross (Ph.D., Cognitive Science)
  • Xiong Zhang (Ph.D., Computer Science, University of Rochester)

Teaching

UC San Diego

University of Rochester

MIT

  • 6.813: User Interface Design & Implementation (Spring 2014)
    • co-taught with Rob Miller, Daniel Jackson, and David Karger