{"674332":{"#nid":"674332","#data":{"type":"event","title":"PhD Defense by Song Wei","body":[{"value":"\u003Cp\u003EDear faculty members and fellow students,\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYou are cordially invited to attend my thesis defense.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ECHANGE-POINT DETECTION AND CAUSAL INFERENCE FOR TIME SERIES WITH APPLICATIONS IN HEALTHCARE\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EMay 2nd, 2024\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E12\u003Cstrong\u003E:\u003C\/strong\u003E45 - 15:00\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation\u003C\/strong\u003E: Groseclose 403 or Zoom meeting\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/6286168510?pwd=UmVacUhQL1RhZHY0VSt6TjRtMGFoQT09\u0022 title=\u0022https:\/\/gatech.zoom.us\/j\/6286168510?pwd=UmVacUhQL1RhZHY0VSt6TjRtMGFoQT09\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/6286168510?pwd=UmVacUhQL1RhZHY0VSt6TjRtMGFoQT09\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EName:\u0026nbsp;\u003C\/strong\u003ESong Wei\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMachine Learning PhD Student\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Industrial and Systems Engineering\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Yao Xie (Advisor, School of Industrial and Systems Engineering, Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Rishikesan Kamaleswaran (Department of Surgery, Duke University)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Feng Qiu (Argonne National Laboratory)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Yajun Mei (School of Industrial and Systems Engineering, Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Gari Clifford (Department of Biomedical Informatics, Emory University \u0026amp; Department of Biomedical Engineering, Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExplainable prediction algorithms have become increasingly important in automated surveillance systems within the healthcare context, as they offer actionable insights for clinicians on duty to respond to predicted adverse events. In this thesis, I will present a real study on sepsis prediction, and several novel methods motivated by it. Those methods, developed with the help of recent advancements in statistics and optimization, enjoy strong theoretical guarantees and exhibit promising empirical performance. Importantly, with the numerical demonstration on the real data, I hope the developed methods can be extended to a broader range of real applications.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ECHANGE-POINT DETECTION AND CAUSAL INFERENCE FOR TIME SERIES WITH APPLICATIONS IN HEALTHCARE\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"CHANGE-POINT DETECTION AND CAUSAL INFERENCE FOR TIME SERIES WITH APPLICATIONS IN HEALTHCARE"}],"uid":"27707","created_gmt":"2024-04-22 22:39:54","changed_gmt":"2024-04-22 22:40:42","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2024-05-02T12:45:58-04:00","event_time_end":"2024-05-02T15:00:00-04:00","event_time_end_last":"2024-05-02T15:00:00-04:00","gmt_time_start":"2024-05-02 16:45:58","gmt_time_end":"2024-05-02 19:00:00","gmt_time_end_last":"2024-05-02 19:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Groseclose 403 or Zoom meeting","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}