Minsuk Kahng 강민석

Update: I recently left Google DeepMind and started a faculty job in South Korea in 2025.

Hi, I'm an Assistant Professor at Yonsei University in the Department of Computer Science and Engineering, where I co-lead the Human-Data Interaction Lab.

My research focuses on addressing key challenges in responsible AI, such as model failure, bias, and safety. I take a human-centered approach, often through interactive data visualization, to help practitioners explore data and analyze model behavior. For example, our interactive tools have been extensively used at Google for model evaluation and featured at Google I/O.

Before joining Yonsei, I was a Senior Research Scientist at Google DeepMind in the People + AI Research (PAIR) team and an Assistant Professor at Oregon State University. I received my Ph.D. from Georgia Tech, advised by Polo Chau, along with a Dissertation Award.

Areas of expertise: Data Visualization, Responsible AI, Human-Computer Interaction

Research Interests

AI systems are inherently imperfect. They fail unexpectedly, reflect biases, or raise safety concerns. We believe these issues are best addressed by enabling people to actively engage with the data behind these systems. To support this, our research group develops methods and tools that help people make sense of and analyze such data, drawing on methods from data visualization, human-computer interaction, and responsible AI. We're particularly interested in (but not limited to):

Note for Prospective Students

We're actively looking for graduate students and undergraduate interns. If you're interested, please email me your CV, transcript, and a one-page statement explaining why you'd like to work with us and what relevant experience you have. If there's a potential fit, I'll get back to you within a week regarding next steps.

Selected Publications (Latest & Greatest)

See all publications (including Preprints)

Employment

Education

Awards

Teaching

Student Advising

Invited Talks

Professional Service

Bio

Minsuk Kahng is an Assistant Professor in the Department of Computer Science and Engineering at Yonsei University in South Korea. His research aims to empower researchers and practitioners to gain insights through interactive data visualization, enabling the responsible development of AI systems. To achieve this, he builds novel visual analytics tools that help these people interpret model behavior and explore large datasets. Kahng publishes papers at the top venue in the field of data visualization (IEEE VIS), as well as at premier conferences in the field of AI, Human-Computer Interaction, and Responsible Computing. His research has led to deployed technologies (e.g., LLM Comparator for Google, ActiVis for Facebook) and been recognized by prestigious awards, including a Google PhD Fellowship and an NSF Graduate Research Fellowship, and supported by NSF, DARPA, Google, and NAVER. Before joining Yonsei, Minsuk was a Senior Research Scientist at Google DeepMind in the People + AI Research (PAIR) team and an Assistant Professor at Oregon State University. He received his Ph.D. from Georgia Tech with a Dissertation Award.

Website: https://minsuk.com
CV: https://minsuk.com/minsuk-kahng-cv.pdf