When: Friday, April 17, 3:00 PM
Where: Tyler 055<\/p>\n\n\n\n
Abstract<\/strong> Bio<\/strong> When: Friday, April 17, 3:00 PMWhere: Tyler 055 AbstractThe sensitive nature of genomic data poses major challenges for data sharing and collaboration in biomedicine. Traditional safeguards often lead to fragmentation across data silos, hindering large-scale analysis. I will describe our recent work on secure federated (SF) algorithms, which combine cryptography and distributed computation to enable […]<\/p>\n","protected":false},"author":3300,"featured_media":18499,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[34,85],"tags":[],"class_list":["post-18498","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-seminars"],"acf":[],"_links":{"self":[{"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/posts\/18498","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/users\/3300"}],"replies":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/comments?post=18498"}],"version-history":[{"count":1,"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/posts\/18498\/revisions"}],"predecessor-version":[{"id":18500,"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/posts\/18498\/revisions\/18500"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/media\/18499"}],"wp:attachment":[{"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/media?parent=18498"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/categories?post=18498"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/web.uri.edu\/cs\/wp-json\/wp\/v2\/tags?post=18498"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
The sensitive nature of genomic data poses major challenges for data sharing and collaboration in biomedicine. Traditional safeguards often lead to fragmentation across data silos, hindering large-scale analysis. I will describe our recent work on secure federated (SF) algorithms, which combine cryptography and distributed computation to enable collaborative genomic research without compromising privacy. I will showcase practical tools we have developed for essential tasks, including genome-wide association studies (Nature Genetics, 2025), principal component analysis (IEEE S&P, 2023), and the identification of genetic relatives (Genome Research, 2024). Finally, I will discuss our ongoing efforts to deploy these methods across large-scale biobanks and highlight broader opportunities for privacy-enhancing technologies in advancing biomedicine.<\/p>\n\n\n\n
Hyunghoon (Hoon) Cho, PhD, is an Assistant Professor of Biomedical Informatics & Data Science and of Computer Science at Yale University. Previously, he was a Schmidt Fellow and Principal Investigator at the Broad Institute of MIT and Harvard. He received his Ph.D. in Electrical Engineering and Computer Science at MIT in 2019. Previously, he received his M.S. and B.S. with Honors in Computer Science from Stanford University. His research focuses on overcoming key computational challenges in analyzing massive and distributed biomedical data, developing modern tools based on applied cryptography and machine learning. He is especially interested in building privacy-preserving, scalable AI and mathematical models to unlock insights from complex genomic data. He is a recipient of the NIH Director’s Early Independence Award.<\/p>\n","protected":false},"excerpt":{"rendered":"