题 目: Dynamical Approaches in scRNA-seq Data Analysis
报告人: Prof. Tiejun Li（李铁军）
School of Mathematical Sciences，Peking University
时 间: 11月30日（周一）13:00-14:00
地 点: 老化学楼东配楼101报告厅
主持人: 来鲁华 教授
The scRNA-seq data analysis has been recognized as one of the most promissing field in computational biology and attracts a lot of attention in recent years. Although it is a data-oriented problem at a first sight, the recent studies showed that the dynamical modeling and analysis could play a vital role in this field. In this talk, I will introduce some recent progress made by our group on this topic with the dynamical system perspective. The covered methods include the multiscale dynamical approaches for scRNA-seq data analysis (MuTrans), landscape of differential dynamics (LDD), and theoretical framework of RNA velocity, etc.
Dr. Tiejun Li got his Batchelor and Master degree from Tsinghua University in 1995 and 1998, and PhD degree from Peking University in 2001. His research interest is the stochastic modeling and algorithms in science and engineering. He has made several important contributions in multiscale analysis of complex fluids, chemical reaction kinetic simulations, model reduction of complex networks, rare events and landscape theory in biology, and scRNA-seq data analysis, etc. He has published more than fifty refereed articles in the journals like PNAS, CMP, JCP, and SIAM series, etc. He is also the recipient of the NSFC Research Funding for Excellent and Distinguished Young Scholars in 2012 and 2018, respectively.