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Kihyuk (Ki) Hong | 홍기혁
Assistant Professor
Department of Industrial & Systems Engineering
KAIST (Korea Advanced Institute of Science & Technology)
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My primary area of research is artificial intelligence (AI) with a focus on reinforcement learning (RL). My main focus is on the design and analysis of computationally efficient algorithms with provable guarantees. I have worked on problems including non-stationary bandits, offline RL and constrained RL.
I was born and raised in South Korea. My alma maters are Johns Hopkins (BS, 2008), Stanford (MS, 2010) and University of Michigan (PhD, 2025. Advisor: Ambuj Tewari). Before starting my PhD, I worked on recommendation systems and search engines as a machine learning engineer at Meta (2010-2013) and Naver (2013-2018, 2019-2020).
2025/09/19 Our paper “Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions” has been accepted to NeurIPS 2025.
2025/09/01 I have joined the Department of Industrial and Systems Engineering at KAIST as an Assistant Professor.