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DTSTAMP:20260609T020835Z
DESCRIPTION:Title :Large-scale Machine Learning Algorithms for Biomedical D
 ata Science\n\nAbstract:\n\nDuring the last decade\, hundreds of machine l
 earning methods have been developed for disease outcome prediction based o
 n high-throughput genomics data. However\, the quality of the input genomi
 cs features and the output clinical variables has been ignored in these al
 gorithms. In this talk\, I will introduce two studies that develop methods
  to learn more accurate molecular signatures and drug response values for 
 cancer research. These studies are supported by NSF\, NIH\, and Moffitt Ca
 ncer Center.\n\n\n	Speaker\n\n\nDr. Wei Zhang is an Assistant Professor in 
 the Department of Computer Science and Genomics and Bioinformatics Cluster
  at UCF. His research interests include computational biology and machine 
 learning. His research has centered on investigating the role of transcrip
 tome variants in diseases\, spanning from technique-driven research (e.g.\
 , algorithm development for disease outcome prediction)\, to hypothesis-dr
 iven investigation of specific biological problems. Dr. Zhang received NSF
  CRII award in 2018 and NIDDK dkNET New Investigator Award in 2020. Lab we
 bpage: https://server.cs.ucf.edu/compbio/\n\nZoom Link\n\nMeeting ID: 843 
 0865 5572\n\nPasscode: 690084\n
DTSTART:20210115T203000Z
DTEND:20210115T213000Z
SUMMARY:Wei Zhang (UCF)
URL:https://www.mcgill.ca/mathstat/channels/event/wei-zhang-ucf-327702
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