I aim to build systems/interfaces that help humans and machines learn procedural knowledge.
Minsuk Chang, Leonore V. Guillain, Hyeungshik Jung, Vivian M. Hare, Juho Kim, and Maneesh Agrawala. "RecipeScape: An Interactive Tool for Analyzing Cooking Instructions at Scale", CHI 2018 (to appear)
I have training in Computer Science, Financial Engineering from KAIST, Finance from Simon Business School @ University of Rochester, and Statistics from Rutgers University. I have worked at an Hedge Fund in NYC trying to beat the market by relentlessly crunching numbers prior to coming (back) to KAIST. I've spent two years in the reinforcement learning (as a subfield of machine learning) research group at KAIST as a Ph.D student before joining KIXLAB (the KAIST Interaction Lab). A more detailed CV.
Jun 2018 : Started Research Internship at Adobe Research @ Seattle! Hit me up if you're in Seattle area!
Apr 2018 : at CHI 2018 in Montreal, Quebec! Presenting RecipeScape on Thursday Morning.
Apr 2018 : Will present RecipeScape at SIGCHI Korea Local Chapter 2018 Spring Academic Workshop
Mar 2018 : Invited to CHI 2018 Sensemaking Workshop :)