“Machine Learning Algorithms for Analysis of Omics Data” – Li Xing
Location: Zoom Conference – details below | Time: 2:30 pm – 4:30 pm
Details: Online presentation (1 hour) followed by question period (30 minutes).
Note:
- The presentation will be recorded for those unable to attend the live presentation.
- Please make sure your mic is muted during the presentation.
Topic: CRC Public Health Omics Candidate Presentation
Time: Jul 17, 2020 2:30 PM Pacific Time (US and Canada)
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Candidate CV and documents have been shared with you via SFU Vault. To access *Vault, you must sign in with your SFU computing ID. Please consider the CV, documents and recorded presentation as confidential material. *https://www.sfu.ca/itservices/collaboration/sfu-vault.html
Presentation:
“Machine Learning Algorithms for Analysis of Omics Data”.
Bio:
Dr. Li Xing is an assistant professor in the Mathematics and Statistics Department at the University of Saskatchewan. She works in developing machine learning algorithms and statistical models for big complex data, especially for genomic data.
She obtained her Ph.D. in Statistics at UBC and M.Sc. in Statistics at SFU. In her past working experience as a statistician, she worked for multiple research institutions at the University of Victoria, the University of British Columbia, and Johns Hopkins University. She also worked for the Food and Drug Admission, USA as a statistical reviewer to evaluate biosimilar drug submission. As a postdoc-fellow, she was supported by NSERC postdoc fellowship to work on machine learning algorithms for brain imaging data and genomic data from multiple studies.
Please send your candidate feedback to the search committee Chair Jeremy Snyder and/or committee at fhs-crcomicssearch@sfu.ca
Committee Members:
Tania Bubela – Chair
Robert Hogg
Zabrina Brumme
Don Sin
Scott Tebbutt
Will Hsiao