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Minsuk Chang

Hi :) My name is Minsuk Chang.

I'm a Computer Science PhD student in the KIXLAB at KAIST advised by Juho Kim. My work in HCI focuses on building interactive systems powered by statistical inference on large scale interaction data.

One-liner Research Objective:

I aim to build systems/interfaces that help humans and machines learn procedural knowledge.

Latest Publications:

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

What I do:
  • I build interfaces using data-driven computational interaction models to support computationally rational user scenarios.
  • I use human computation, machine learning and statistical inference on naturally crowdsourced instructions to mine human semantics layers like explanations, reasoning, consequences and causal relationships.
  • I spend a lot of my time thinking about ways we can improve learning at scale through peer learning.
  • I was the Head TA for the Introduction to Programming course from 2015-2018. I really enjoyed working with 40 TAs and interacting with 450-500 students each semester!
How I got here:

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 (pdf).

Latest News:

Nov 2018 : Excited to spend the winter at Autodesk Research @ Toronto
Oct 14-19 2018 : Traveling to UIST 18 @ Berlin.
Aug 22 2018 : Visiting University of British Columbia to give a talk on voice+video interfaces.
Jun 2018 : Started Research Internship at Adobe Research @ Seattle! Seattle people, let's meet!