I'm a PhD student in the School of Computing at KAIST advised by Juho Kim. My work in HCI focuses on building interactive systems powered by statistical inference on large scale interaction data. I am an active member of KIXLAB since its day one, and we're part of the bigger HCI@KAIST group.
I aim to build interfaces that promote learning for both humans and machines.
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.
Feb 2018 : Presented a poster on RecipeScape at HCI@KAIST Winter Workshop. Received best poster award!
Dec 2017 : Our RecipeScape paper is conditionally accepted to CHI 2018!
Oct 22 - 24, 2017 : Student Volunteering for UIST 2017 @ Quebec City, QC, Canada