Hoon Cho

Hyunghoon (Hoon) Cho is an Assistant Professor in the Department of Computer Science at Yale University. His research focuses on overcoming computational challenges in analyzing massive and distributed biomedical data, developing tools based on applied cryptography and machine learning. He is particularly interested in building privacy-preserving, scalable AI and mathematical models to unlock insights from complex genomic data. Cho is a recipient of the NIH Director's Early Independence Award. His lab website is https://hcholab.org, and his profile can be found at https://medicine.yale.edu/profile/hoon-cho/.

Hyunghoon (Hoon) Cho is a computational biologist and machine learning researcher at Yale University, focusing on the intersection of computational biology, privacy and security, and machine learning. His work addresses critical challenges in genomic data sharing, privacy-preserving analytics, and the visualization of complex biological data. Cho's research includes developing secure methods for genome-wide association studies, federated learning for precision medicine, and advanced visualization techniques for single-cell transcriptomics. His publications explore privacy-utility trade-offs, secure multiparty computation, and the integration of multi-network topology for functional gene analysis. His contributions aim to enhance data privacy while enabling collaborative biomedical research.