An AI Enabled Neoantigen Discovery and Validation Pipeline

Speaker:       Ming Li, University of Waterloo

Time:            20:00-21:00  Nov.18.2022

Host:            Jie Zheng

Loction:          SIST 1A 200

Abstract:    

Personalized neoantigen discovery and validation is a main step for immunotheorapy. Nature Biotechnology editorial has appealed for a solution to such a problem using mass spectrometry, in 2017. After 6 years research, we provide a solution to this problem.

Bio:    

Ming Li is a Canada Research Chair in Bioinformatics and a University Professor at the University of Waterloo. He is a fellow of Royal Society of Canada, ACM, and IEEE. He is a recipient of Canada's E.W.R. Steacie Fellowship Award in 1996, the 2001 Killam Fellowship and the 2010's Killam Prize. Together with Paul Vitanyi they have pioneered the applications of Kolmogorov complexity and co-authored the book An introduction to Kolmogorov complexity and its applications. His research interests recently include bioinformatics, natural language processing, deep learning, and information distance.