Minsuk Kahng 강민석

Hi, I'm a Research Scientist at Google in the People + AI Research (PAIR) team, part of the Responsible AI group.

My research aims to empower practitioners to leverage the power of data visualization to responsibly develop AI systems. To achieve this goal, I design and develop novel interactive visual analytics tools that help people interpret AI systems and explore large datasets.

At Google, I build tools for engineers and researchers to perform in-depth analysis of data involved in the development of large language models (LLMs). These tools streamline their workflows to evaluate LLMs and analyze text and multimodal datasets for model training.

Before joining Google, I was an Assistant Professor at Oregon State University. I received my Ph.D. from Georgia Tech, advised by Polo Chau, and was recognized by an NSF Graduate Research Fellowship, a Google PhD Fellowship, and a Georgia Tech Dissertation Award.

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Bio

Minsuk Kahng is a Research Scientist at Google in the People + AI Research (PAIR) team. His research focuses on building visual analytics tools for helping practitioners responsibly develop and interactively interpret machine learning systems for large datasets. He combines human-centered interactive methods and data-driven scalable techniques at the intersection of Data Visualization, Explainable AI, and Human-Computer Interaction (HCI). Kahng's research has led to deployed technologies (e.g., ActiVis for Facebook) and open-sourced tools (e.g., GAN Lab developed with Google). His research has been recognized by pretious awards, including Google PhD Fellowship and NSF Graduate Research Fellowship, and supported by NSF, DARPA, Google, Facebook, NAVER, and others. Prior to Google, Kahng was an Assistant Professor at Oregon State University, leading the Data Interaction and Visualization Lab. He received his Ph.D. from Georgia Tech with a Dissertation Award and received his Master's and Bachelor's degrees from Seoul National University in South Korea.