Dr. Jaemin Cho

Biography

Jaemin Cho is an incoming Assistant Professor in the Department of Computer Science at Johns Hopkins University. His research focuses on multimodal AI, seeking to integrate diverse data types such as images, videos, text, audio, and motion to develop models that are interpretable, controllable, and scalable. He is particularly interested in enhancing productivity applications across various fields including education, medicine, filmmaking, programming, and dancing through the use of human-in-the-loop agents and knowledge from unlabeled visual demonstrations. His work has been highlighted at top conferences in computer vision, natural language processing, and machine learning, such as the Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision, and Neural Information Processing Systems (NeurIPS). Cho has been recognized with multiple oral presentations at prestigious conferences and awarded the Bloomberg Data Science PhD Fellowship, with his research featured in notable media such as MIT Technology Review, IEEE Spectrum, and Wired. He co-organized the Workshop on Transformers in Vision at CVPR for three consecutive years. Cho obtained his PhD in Computer Science in 2025 from the University of North Carolina at Chapel Hill, mentored by Mohit Bansal, and previously earned his BSc in Industrial Engineering from Seoul National University in 2018. He will spend a year at the Allen Institute for AI before joining Johns Hopkins full-time.

Research Interests