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

My research spans human-computer interaction, online learning, and computing education.

Publications | Google Scholar | Curriculum Vitae

About Me

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, 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 (http://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 http://pgbovine.net/ contains over 400 articles, videos, and podcast episodes and gets over 750,000 page views per year.

Awards and Honors

  • 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 Press and Media

Current Students

  • Xiong Zhang (Ph.D., Rochester)
  • Kandarp Khandwala (Ph.D., UCSD)
  • Ian Drosos (Ph.D., UCSD)
  • Sean Kross (Ph.D., UCSD)
  • Alok Mysore (masters, UCSD)
  • Charles Chen (masters, UCSD)

Former Students

  • Logan Gittelson (Ph.D., Rochester)
  • Jaime Montoya (Ph.D., Rochester)
  • Davide Berdin (visiting masters, Uppsala University)
  • Hyeonsu Kang (masters, UCSD)
  • Dan Scarafoni (masters, Rochester)
  • Jeremy Warner (masters, Rochester)
  • Jeffery White (masters, Rochester)
  • Renan Zanelatto (masters, Rochester)
  • Karina Banda (undergrad, Rochester)
  • Lenny Brown (undergrad, Rochester)
  • Jennifer Kate Godzicki (undergrad, Rochester)
  • Mitchell Gordon (undergrad, Rochester)
  • Dan Hassin (undergrad, Rochester)
  • Sara Lickers (undergrad, Rochester)
  • Emy Lin (undergrad, Rochester)
  • Doug Miller (undergrad, Rochester)
  • Annie Zhang (undergrad, Rochester)
  • Joyce Zhu (undergrad, Rochester)
  • Irene Chen (undergrad, MIT)
  • Anvisha Pai (undergrad, MIT)

Teaching

UC San Diego

  • COGS 120/CSE 170: Human-Computer Interaction Design (Fall 2017, Fall 2016)
  • COGS 121: Human-Computer Interaction Programming Studio (Spring 2017)
  • COGS 124: HCI Technical Systems Research (Fall 2017)
  • COGS 231: Design Seminar on Human-Centered Programming (Spring 2017)

University of Rochester

MIT

  • 6.813: User Interface Design & Implementation (Spring 2014)
    • co-taught with Rob Miller, Daniel Jackson, and David Karger
  • 6.170: Laboratory in Software Engineering (Spring 2006), TA

Stanford

  • CS343: Advanced Topics in Compilers (Spring 2012), TA
  • CS242: Programming Languages (Autumn 2009), TA
  • CS243: Advanced Compiling Techniques (Winter 2008), TA