Venue: West Hall 340
Bio: Professor Yun S. Song is a professor of EECS and Statistics working in mathematical and computational biology. He received his BS degrees in mathematics and physics from MIT, and a PhD in physics from Stanford University. Prof. Song’s research centers around computational and mathematical biology. He is generally interested in developing computational tools and statistical methods to facilitate the research of the broad biomedical community, while also getting deeply involved in data analysis and interpretation. Prof. Song is also interested in machine learning, combinatorial optimization, algorithms, and Monte Carlo methods.
Recent honors and awards include NIH Pathway to Independence Award K99/R00 (2006), Alfred P. Sloan Research Fellowship (2008), Packard Fellowship for Science and Engineering (2008), NSF CAREER Award (2009), Jim and Donna Gray Faculty Award for Excellence in Undergraduate Teaching (2013), Miller Research Professorship (2014), Math+X Simons Chair (2015), and Chan Zuckerberg Biohub Investigator Award (2017).
Abstract: Proteins are the workhorses of the cell and are involved in all aspects of cellular processes. In spite of notable technological advances in protein biology and genomics over the past decade, it remains an important challenge to unravel how protein synthesis and function are affected by genetic mutations. In this talk, I will describe our recent progress in tackling this challenge by leveraging new theoretical results on interacting particle systems and recent advances in natural language processing.
The MICDE Winter 2022 Seminar Series is open to all. University of Michigan faculty and students interested in computational and data sciences are encouraged to attend.
This seminar is cohosted by the Michigan Institute for Computational Discovery (MICDE) and the Michigan Institute for Data Science (MIDAS). Dr. Song will be hosted by Dr. George Zhang, Professor of Ecology and Evolutionary Biology.
This is a hybrid event and will be held in-person and broadcast online via Zoom. Note: You may register after the event has started.
Questions? Email MICDEemail@example.com