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ECE Departmental Seminar

Systematic Multi-scale Modeling and Analysis for Gene Regulation

Prof.  Daifeng Wang
Department of Biomedical Informatics
Stony Brook University

Daifeng WangFriday, 12/2/16, 1:00pm
Light Engineering 250

Abstract: The rapidly increasing quantity of biological data offers novel and diverse resources to study  biological functions at the system level. Integrating and mining these various large-scale datasets  is both a central priority and a great challenge for the field of systems biology and necessitates the  development of specialized computational approaches. In this talk, I will present several novel  computational systems approaches in a multi-scale modeling framework to study gene expression  and regulation with applications to cancer and developmental biology: 1) an algorithm to  simultaneously cluster multi-layer networks such as gene co-expression networks across multiple  species, which discovered novel human developmental genomic functions and behaviors; 2) a  logic-circuit based method to identify the genome-wide cooperative logics among gene regulatory  factors and pathways for the first time in cancers such as acute myeloid leukemia, which provided  unprecedented insights into the gene regulatory logics in complex biological systems; 3) an  integrated method using the state-space model and dimensionality reduction to identify principal  temporal expression patterns driven by internal and external gene regulatory networks, which  established an entirely new analytical platform to identify systematic and robust dynamic patterns  from high dimensional, complex and noisy biomedical data. In addition, I will introduce some  ongoing research projects and discuss the future directions where multi-scale approaches can  make a significant impact in systems biology.

BioDr. Daifeng Wang is a tenure-track Assistant Professor in the Department of Biomedical  Informatics at Stony Brook University, and a faculty member of Stony Brook Cancer Center. He  received his Bachelor’s degree in Electronics and Information Engineering from Huazhong  University of Science and Technology, Wuhan, China in 2004, and his Ph.D. degree in Electrical  and Computer Engineering from the University of Texas at Austin in 2011. He joined Gerstein  Lab as postdoctoral associate in 2012 and associate research scientist in 2015 in Yale University.  His research has focused on bioinformatics, computational systems biology and biomedical  informatics. He published his recent work in Nature, Genome Biology, PLoS Computational  Biology, PNAS, IEEE/ACM Transactions on Computational Biology and Bioinformatics, PLoS  ONE.


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