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DTSTART:20260308T030000
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DTSTART:20251102T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260407T151535
UID:217541@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20260220T120000
DTEND;TZID=America/Chicago:20260220T130000
DESCRIPTION:Statistics in the Age of AI: Theory\, Methods\, and Data. Dr. L
 i will discuss the impact of AI on statistics. He will discuss models from
  his lab\, including theoretical results for generative models\, a method 
 to use embeddings from LLMs to enhance high-dimensional hypothesis testing
 \, an extensions to genetic studies that include curating annotations for 
 8.9B variants for downstream tasks. Finally\, he will introduce STimage-14
 KM\, a publicly available transriptomics dataset curated by his group that
  has facilitated the training foundation data models.\n\nCONTACT: juan.cai
 cedo@wisc.edu\n\nURL: https://www.biostat.wisc.edu/events/department-semin
 ars/\n\nONLINE: https://uwmadison.zoom.us/j/99879638765?pwd=wbtqxoucEFIlPV
 CVc9SFbvKB1Av7Xk.1
LOCATION:Morgridge Hall\, room 7650  (Also offered online)
SUMMARY:Biostatistics and Medical Informatics Seminar with Didong Li\, Univ
 ersity of North Carolina-Chapel Hill
URL;VALUE=URI:https://www.biostat.wisc.edu/events/department-seminars/
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