Founded an AI healthcare startup, DeepMetrics; serving as an Area chair at NeurIPS 2021~2025, ICML 2023~2025, and a Senior program committee member at AAAI 2022; gave an invited talk at Samsung AI Forum 2022 on learning with combinatorial structures; TensorFlow code for deep metric learning methods officially open-sourced to TensorFlow Addons; multiple papers published in top conferences like NeurIPS, ICML.
Research Experience
Currently an associate professor in the Department of Computer Science and Engineering at Seoul National University. Previously a research scientist at Google Research, working on machine learning research in Kevin Murphy's team. Also a postdoctoral fellow in SAIL at Stanford University.
Education
Ph.D. in Computer Science from UC Berkeley (2014), advisors: Trevor Darrell and Stefanie Jegelka; B.S. from Hanyang University.
Background
Research interests: machine learning, combinatorial optimization, and algorithms. Broadly interested in solving challenging combinatorial problems in artificial intelligence.