{"673514":{"#nid":"673514","#data":{"type":"event","title":"CSE Faculty Candidate Seminar - Yuzhe Yang","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EYuzhe Yang, Ph.D. student at \u003Cspan\u003E\u003Cspan\u003EMassachusetts Institute of Technology\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 28, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, First Floor, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cem\u003ECoffee, drinks, and snacks provided!\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ELearning to Assess Disease and Health in Your Home\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E Today\u0027s clinical systems frequently exhibit delayed diagnoses, sporadic patient visits, and unequal access to care. Can we identify chronic diseases earlier, potentially before they manifest clinically? Furthermore, can we bring comprehensive medical assessments into patient\u2019s own homes to ensure accessible care for all? In this talk, I will present machine learning methods to bridge the persistent gaps in medical discovery, delivery, and equity. I will first introduce an AI-powered digital biomarker that detects Parkinson\u2019s disease multiple years before clinical diagnosis, using just nocturnal breathing signals. I will then discuss a simple self-supervised framework for contactless measurement of human vital signs using smartphones. Finally, I will discuss the potential of AI to realize passive, longitudinal, and in-home tracking of disease severity, progression, and medication response.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003EBio: \u003C\/strong\u003EYuzhe Yang is a Ph.D. candidate at MIT. His research interests include machine learning and AI for human diseases, health and medicine. His research has been published in Nature Medicine, Science Translational Medicine, NeurIPS, ICML, and ICLR, and featured in media outlets such as WSJ, Forbes, and BBC. He is a recipient of the Rising Stars in Data Science, and PhD fellowships from MathWorks and Takeda. His work has been deployed in hospitals including MGH and Mayo Clinic, and in patients\u2019 homes for passive health monitoring, and has been adopted in clinical trials for drug and biomarker discovery across various diseases.\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: \u003C\/strong\u003EYuzhe Yang, Ph.D. student at \u003Cspan\u003E\u003Cspan\u003EMassachusetts Institute of Technology\u003C\/span\u003E\u003C\/span\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EThursday, March 28, 2024 at 11:00 am\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u003C\/strong\u003E\u0026nbsp;Coda Building, First Floor, Room 114 (\u003Ca href=\u0022https:\/\/www.google.com\/maps\/place\/Coda\/@33.7752651,-84.3876426,15z\/data=!4m6!3m5!1s0x88f5046677950223:0x7fd1ad077b382c98!8m2!3d33.7752651!4d-84.3876426!16s%2Fg%2F11c6lvs7sl?entry=ttu\u0022\u003EGoogle Maps link\u003C\/a\u003E)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELink:\u0026nbsp;\u003C\/strong\u003EThe recording of this in-person seminar will be uploaded to\u0026nbsp;\u003Ca href=\u0022https:\/\/mediaspace.gatech.edu\/channel\/School%2Bof%2BComputational%2BScience%2Band%2BEngineering\/259332602\u0022 target=\u0022_blank\u0022\u003ECSE\u0027s MediaSpace\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ELearning to Assess Disease and Health in Your Home\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Seminar Title: Learning to Assess Disease and Health in Your Home"}],"uid":"36319","created_gmt":"2024-03-13 17:18:39","changed_gmt":"2024-03-13 17:18:38","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-03-28T11:00:00-04:00","event_time_end":"2024-03-28T12:00:00-04:00","event_time_end_last":"2024-03-28T12:00:00-04:00","gmt_time_start":"2024-03-28 15:00:00","gmt_time_end":"2024-03-28 16:00:00","gmt_time_end_last":"2024-03-28 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda, Room 114","extras":["free_food"],"hg_media":{"673382":{"id":"673382","type":"image","title":"Yuzhe Yang headshot.jpg","body":null,"created":"1710350251","gmt_created":"2024-03-13 17:17:31","changed":"1710350229","gmt_changed":"2024-03-13 17:17:09","alt":"CSE Yuzhe Yang","file":{"fid":"256770","name":"Yuzhe Yang headshot.jpg","image_path":"\/sites\/default\/files\/2024\/03\/13\/Yuzhe%20Yang%20headshot.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/13\/Yuzhe%20Yang%20headshot.jpg","mime":"image\/jpeg","size":297973,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/13\/Yuzhe%20Yang%20headshot.jpg?itok=wUN3uzYt"}}},"media_ids":["673382"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"654","name":"College of Computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"177814","name":"Postdoc"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"},{"id":"78761","name":"Faculty\/Staff"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EMary High\u003Cbr \/\u003E\r\nmhigh7@gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}