计算机软件新技术国家重点实验室 

摘 要：

Single-cell sequencing analysis examines the sequence information from individual cells, providing a higher resolution of cellular differences and a better understanding of the function of an individual cell in the context of its microenvironment. In this talk, I will discuss computational challenges in single-cell RNA-seq analysis. I will also discuss how mathematical tools, such as random matrix theory and matrix perturbation theory, can be used to design better algorithms for single-cell analysis.

报告人简介：

Jiapeng Zhang is an assistant professor at University of Southern California. He has broad interests in theoretical computer science including computational complexity theory, foundation of cryptography and machine learning theory. He obtained his PhD at University of California San Diego. After graduation, he did a postdoc at Harvard.

张家鹏南加州大学助理教授

时间：3月21日(星期一) 10:00

腾讯会议ID：602 194 151