Sorathan (Tum) Chaturapruek

Tum Chaturapruek 

Sorathan (Tum) Chaturapruek
Ph.D. Candidate in Computer Science, Stanford University
(Expected graduation in 2019)

Email: sorathan (AT) cs (DOT) stanford (DOT) edu
Offices: Huang 143A, Gates 496
Erdős Number: 3 (Paul Erdős → László Babai → Katalin Friedl → Sorathan Chaturapruek)

About me

My current research projects leverage behavioral and educational outcome data, as well as large-scale field experiments, to support decision-making and iteratively design an online information platform.

More specifically, I am currently leading an 18-people team that builds Carta ( Carta is a data-driven course planning tool, voluntarily used by more than 95% of Stanford undergraduates

I'm a fourth-year computer science PhD student at Stanford University, advised by Ramesh Johari (MS&E) and John Mitchell (CS & Vice Provost for Teaching and Learning). My advisors and I work closely with Michael Bernstein (Human-Computer Interaction, CS) and Mitchell Stevens (Education).

Previously, I was a math and CS double major at Harvey Mudd College, a crime modeling researcher at UCLA, a search software engineer at Yelp, and a study abroad student at Budapest University of Technology and Economics.


  • (April 16, 2018) Excited to intern at Robinhood in the Data Science team this summer!

  • (April 13, 2018) Paper titled “Choices, Identities, Paths: Understanding College Students’ Academic Decisions” for presentation at the Annual Meeting of the American Sociological Association (ASA), Philadelphia, August 2018, is now available on SSRN here.

  • (May 14, 2017) Excited to intern at Adobe Research this summer.

  • (April 14, 2016) I'm grateful to receive the Vice Provost for Teaching and Learning (VPTL) 2016 Grant. Also thanks for the generous support from Dean's Office in recognition of the University wide impact of the project.

  • (January 4, 2016) Paper on XORs with Shengjia, Stefano, and Ashish is accepted to AAAI and is available on arXiv.

  • (October 30, 2015) We just launched Carta, a course-planning tool that a few Stanford students and I have made! Unlike any other website, Carta uses official data from the Stanford registrar, including course grades and instructor evaluations. If you're a Stanford undergraduate student, we'd love for you to check out Carta for yourself. We're still in the initial phases and continuing to add more features, so it would be incredibly helpful if you could let us know what you think (good or bad) at

  • (October 8, 2015) Our SAILORS paper is accepted to a premier Computer Science education conference (SIGCSE 2016).

  • (August 8, 2015) New paper on Asynchronous Stochastic Convex Optimization is available on arXiv, so is code!

  • (April 12, 2015) I'll help the Stanford AI Lab with an outreach program, SAILORS, in this summer 2015. If you know female 9th graders who might be interested in AI, please encourage them to apply! (Edited: this year's application was closed. Please encourage them to apply next year.)