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, integrating diverse data types such as images, videos, text, audio, and motion to develop interpretable, controllable, and scalable models. He is particularly interested in learning from unlabeled visual demonstrations and enhancing human-in-the-loop systems for applications in education, medicine, filmmaking, programming, and dancing. Cho’s work has been recognized at top conferences in computer vision, including the Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision, and European Conference on Computer Vision, as well as in natural language processing at the Conference on Empirical Methods in Natural Language Processing and the Annual Conference of the Association for Computational Linguistics. Notably, his research has received multiple oral presentations at NeurIPS and ICLR and has garnered media coverage from MIT Technology Review, IEEE Spectrum, and Wired. Additionally, he has co-organized the Workshop on Transformers in Vision at CVPR for 2023, 2024, and 2025. Cho earned his PhD in Computer Science from the University of North Carolina at Chapel Hill in 2025, advised by Mohit Bansal, and holds a BSc in Industrial Engineering from Seoul National University obtained in 2018.

Research Interests