Yu-Ping Wang, Associate Professor, Tulane University
Director of Multiscale Bioimaging and Bioinformatics Laboratory
Title: Integration of Multiscale Brain Imaging and Genomics Data
Abstract：
In this talk, I will present our recent efforts on the development of sparse models for multi-scale and multi-modal genomic and image
data integration and analysis. I will show how to use sparse group CCA model to correlate genomic and image data; how to design
sparse models (e.g., collaborative low rank regression) for integrating genomic, imaging and protein-protein interaction networks; and
how to develop a scaled Lp norm based sparse regression model for biomarker detection, leading to improved diagnosis of mental
illnesses (e.g., schizophrenia).
Brief Bio:
Dr. Yu-Ping Wang received the BS degree in applied mathematics from Tianjin University, China, in 1990, and the MS degree in
computational mathematics and the PhD degree in communications and electronic systems from Xi’an Jiaotong University, China,
in 1993 and 1996, respectively. After his graduation, he had visiting positions at the Center for Wavelets, Approximation and
Information Processing of the National University of Singapore and Washington University Medical School in St. Louis. From
2000 to 2003, he worked as a senior research engineer at Perceptive Scientific Instruments, Inc., and then Advanced Digital Imaging
Research, LLC, Houston, Texas. In the fall of 2003, he returned to academia as an assistant professor of computer science and
electrical engineering at the University of Missouri-Kansas City. He is currently an Associate Professor of Biomedical Engineering
and Biostatistics & Bioinformatics at Tulane University School of Science and Engineering & School of Public Health and Tropical
Medicine. He is also a member of Tulane Center of Bioinformatics and Genomics, Tulane Cancer Center and Tulane Neuroscience
Program. His research interests have been computer vision, signal processing and machine learning with applications to biomedical
imaging and bioinformatics, where he has about 150 peer reviewed publications. He has served on numerous program committees
and NSF/NIH review panels, and served as editors for several journals such as J. of Neuroscience Methods.