一、报告题目

Statistical and Machine Learning Approaches for Investigating Virus-host Interactions

二、主讲人

Fengzhu Sun

三、报告时间

2023年5月23日 10：00 – 11：00

四、报告地点

青岛校区华岗苑东楼227会议室

五、摘要

Viruses play important roles in controlling bacterial population size, altering host metabolism, and have broader impacts on the functions of microbial communities, such as human gut, soil, and ocean microbiomes. However, the investigations of viruses and their functions were vastly underdeveloped. Metagenomic studies provide enormous resources for the identifications of novel viruses and their hosts. We developed several statistical and machine learning methods for the identification of virus-host interactions such as VirHostMatcher, VirHostMatcherNet, and ContigNet. We also developed computational methods for the analysis of metagnomic Hi-C data for metagenome assembly and for linking mobile genetic elements to their hosts. Applications of these tools to metagenomic data will help explore mobile genetic elements and their interactions with their hosts.

六、主讲人简介

Dr. Fengzhu Sun is professor of Quantitative and Computational Biology at the University of Southern California (USC). He is an elected fellow of the American Association for the Advancement of Sciences (AAAS), American Statistical Association (ASA) and Institute of Mathematical Statistics (IMS). He received the USC Provost’s Mellon Mentoring award in 2012 and USC Dornsife College Senior Raubenheimer award for excellence in research, teaching and service in 2017. He has published over 200 papers with citations over 13000 times according to google scholar.

七、主办单位

非线性期望前沿科学中心

数学与交叉科学研究中心