时 间：2023年12月15日 10:00-11:00
地 点: Zoom会议ID：8906-4759-433 密码：716038
报告人：张正武 北卡罗来纳大学教堂山分校教授
主持人：周勇 华东师范大学教授
摘 要：
Brain connectivity plays a fundamental role in forming normal brain functions and dysfunctions. Recent development in imaging techniques allows us to non-invasively peer into the brain and obtain a good estimation of brain connectivity. This talk will briefly introduce our recent progress in acquiring, representing, and analyzing brain structural connectomes. I will also discuss statistical challenges in analyzing brain network data and show several novel methods we developed to understand the relationship between brain networks and human behavior. At the end of the talk, I will discuss our efforts to make such data more accessible to statistics and data science communities.
报告人简介：
Zhengwu Zhang, Ph.D. in Statistics, is currently an Assistant Professor in the Departments of Statistics and Operations Research, Biostatistics, Neuroscience, and Psychology at the University of North Carolina at Chapel Hill. From 2017 to 2020, he served as an Assistant Professor in the Departments of Biostatistics and Computational Biology, as well as Neuroscience, at the University of Rochester. Prior to his tenure-track positions, he was a postdoctoral fellow at the Statistical and Applied Mathematical Sciences Institute (SAMSI). He completed his Ph.D. in Statistics at Florida State University in May 2015.
Dr. Zhang's primary research interests focus on developing effective statistical and machine learning methods for high-dimensional "objects" with low-dimensional underlying structures. These objects originate from various fields such as neuroscience, computer vision, epidemiology, genomics, and meteorology, and include images, surfaces, networks, as well as data analysis on non-linear manifolds. His research findings have been extensively published in top-tier academic journals and conferences, including JASA, JMLR, AOAS, CVPR, ICCV, and various IEEE Transactions journals. He has received multiple awards such as the ASA Statistics in Imaging Section's Best Papers, Outstanding Graduate of Florida State University, UNC Chapel Hill Junior Faculty Development Award, and the Oak Ridge Associated Universities Ralph E. Powe Junior Faculty Enhancement Award. He has also contributed a discussion paper in the Journal of the American Statistical Association (Applications & Case Studies section) in 2022.