[Sds-seminars] [Sds-announce] S&DS Seminar, Eric Sun, 1/27/25, KT 13th Floor, Rm. 1327, 12pm-1pm, "Machine Learning for Aging and Spatial Omics"

[Elizavette Torres]

[Department of Statistics and Data Science]<https://statistics.yale.edu/>   Department of Statistics and Data Science<https://statistics.yale.edu/>

Eric Sun, Stanford University
[https://statistics.yale.edu/sites/default/files/styles/user_picture_node/public/eric_sun.jpg?itok=A_as_htB]
Date: Monday, January 27, 2025
Time: 12:00PM to 1:00PM
Location: Kline Tower, 13th Floor, Rm. 1327A  See map<http://maps.google.com/?q=219+Prospect+Street%2C+New+Haven%2C+CT%2C+06511%2C+us>
219 Prospect Street
New Haven, CT 06511
Webcast: https://yale.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=092a7568-7c71-47b0-b0da-b233012bcd25

Machine Learning For Aging And Spatial Omics
 Information and Abstract:
Aging is a highly complex process and the greatest risk factor for many chronic diseases including cardiovascular disease, dementia, stroke, diabetes, and cancer. Recent spatial and single-cell omics technologies have enabled the high-dimensional profiling of complex biology including that underlying aging. As such, new machine learning and computational methods are needed to unlock important insights from spatial and single-cell omics datasets. First, I present the development of high-resolution machine learning models (‘spatial aging clocks’) that can measure the aging of individual cells in the brain. Using these spatial aging clocks, I discovered that some cell types can dramatically influence the aging of nearby cells. Next, I present new computational and statistical methods for overcoming the gene coverage limitations of existing spatial omics technologies, which have enabled the discovery of gene pathways underlying the spatial effects of brain aging. Finally, I introduce several methods for improving the reliability and robustness of high-dimensional data visualizations.
Lunch at 11:30am in room 1307
Talk at 12:00-1:00pm in room 1327A


For more details and upcoming events visit our website at https://statistics.yale.edu/calendar.

Department of Statistics and Data Science
Yale University
Kline Tower
219 Prospect Street
New Haven, CT 06511
https://statistics.yale.edu/


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