I’m a Ph.D. candidate at Stanford CS, advised by Chelsea Finn and part of the IRIS lab. I am affiliated with SAIL, CRFM, and the ML Group at Stanford. My research is generously supported through grants and fellowships from OpenAI and KFAS. During my mandatory military service in South Korea, I served as a research scientist at Kakao and AITRICS, collaborating with Juho Lee. I hold a master’s degree in Computer Science (advised by Seungjin Choi) from POSTECH.

Here are some key questions that guide my research:

• Teaching strong models: Pre-trained models already hold much of what we need to teach. How can we develop teaching paradigms that better leverage these inherent capabilities?
• Underspecification: No dataset fully specifies its intended task. How can we help models recognize and represent the multiple valid interpretations of the data, and how do we best leverage this diversity of hypotheses?
• Understanding information: Data carries an underlying essence (“information”) that goes beyond its specific form. How can we better conceptualize this notion and understand how models extract, process, and communicate it?

My name (윤호) is pronounced like ‘you-know’ said quickly, with an emphasis on ‘you’. Here is a good approximation.