AI, Genomics, and Genetic Engineering
主讲人：Stephen Hsu
时间：3月13日 19:20～20:50
地点：宁斋
摘要
Over the last 10 years researchers have used machine learning applied to large genomic datasets to build predictors for complex traits such as height, cognitive ability, and almost all common disease traits. For example, we can easily identify outliers at very high and very low risk for conditions such as diabetes, heart disease, breast cancer, etc. We can predict adult height from DNA alone with a standard error of a few centimeters. These technologies are now applied at scale to select IVF embryos: genotyping of embryo biopsies is standard of care in the US, and parents receive detailed reports concerning the genetic disease risks used to select which embryo will become their child.
主讲人 Stephen Hsu
Stephen Hsu, Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Research interests: quantum field theory, black holes, cosmology,quantum foundations, AI/ML, computational genomics. Background: BS Caltech PhD Berkeley (theoretical physics); Harvard Junior Fellow, faculty positions at Yale, UOregon, and MSU. Previously Senior Vice-President for Research and Innovation, MSU. Founder of technology companies: SafeWeb (encryption & internet security; acquired by Symantec); Genomic Prediction (DNA embryo screening for IVF); Othram (solves crimes via forensic DNA and genetic genealogy); Superfocus.ai (Agentic LLMs and embedded small models).
