Minsuk Kahng is a Research Scientist at Google in the People + AI Research (PAIR) team. His research focuses on building visual analytics tools for people to interpret and interact with machine learning systems for large datasets. His work synergistically combines human-centered interactive methods and data-driven scalable techniques at the intersection of Data Visualization, Explainable AI, and Human-Computer Interaction (HCI). His research has led to deployed technologies (e.g., ActiVis for Facebook) and open-sourced tools (e.g., GAN Lab developed with Google, used by more than 200,000 people in over 190 countries). Kahng's research has been recognized by prestigious awards, including Google PhD Fellowship and NSF Graduate Research Fellowship, and supported by NSF, DARPA, Google, Facebook, and others. Prior to Google, Kahng was an Assistant Professor of Computer Science at Oregon State University. 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.