Sorathan (Tum) Chaturapruek
I'm a third-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) on data-driven education, under the project name Carta.
Currently, I'm leading the team that designs and builds Carta, a web application that helps Stanford students explore and plan courses at Stanford (https://carta.stanford.edu – SUNET ID required, or see the public-facing website https://cartalab.stanford.edu). Carta is built based on many data sources, including official student enrollments and outcome data from the Registrar. Carta has been used by more than 8,000 unique users from Stanford since its launch in August 2016, with more than 2,500 weekly active users. More than 80% of Stanford undergraduates use Carta to explore and plan courses.
I'm using Carta as a substrate to do research at the intersection of informational platform design, HCI, AI, and decision making. I also study the algorithmic side of sequential decision making, and recently got interested in deep reinforcement learning. More broadly, I'm interested in understanding the opportunities and risks of using data and tools to support decision making and how to use AI to supplement people's life. I am motivated by opportunities to make a big social impact through technology.
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.