Abstract: Propelled by the unprecedented accumulation of biomedical data and recent advancements in deep learning, artificial intelligence has found its applications in biomedical and healthcare research. In this talk, I will discuss how my lab and others use deep/machine learning to model biomedical data from neuroimaging, genomics, to single cell and spatial single cell transcriptomics data and how these models help address some of the challenging problems in these biomedical applications.

Bio: Yufei Huang is currently Professor and Leader in AI for Cancer Research at UMPC Hillman Cancer Center and Department of Medicine, School of Medicine, University of Pittsburg. Before that, he was Professor and Associate Chair on Research of the Department of Electrical and Computer Engineering at the University of Texas at San Antonio (UTSA), and an adjunct professor at the Department of Population Health Science at the University of Texas Health San Antonio. He has been a visiting professor at the Center of Bioinformatics, Harvard Center for Neurodegeneration & Repair. Dr. Huang’s expertise is in the areas of computational biology, machine learning, and artificial intelligence. His current research focuses on developing enabling analysis and visualization tools for spatially resolved single cell multi-omics, the functions of m6A methylation, cancer viruses, and artificial intelligence systems for precision oncology. He was a recipient of the National Science Foundation (NSF) CAREER Award, UTSA Presidential Achievement Award on Research Excellence, and Best Paper Award of IEEE Biomedical and Health Informatics Conference, and Best Paper Award of IEEE Signal Processing Magazine. His research has been supported by NSF, NIH, Air Force Office of Scientific Research, Army Research Lab, Department of Defense, and Qatar National Research Fund. He has served as chair and technical program chair for multiple conferences including IEEE International Conference on Biomedical Health Informatics (BHI), IEEE International Conference on Bioinformatics and Biomedicine (BIBM), and International Conference on Intelligent Biology and Medicine (ICIBM). He is the Chair of the IEEE Biomedical and Health Informatics Technical Committee and has served in the role of Associate Editor for multiple journals including IEEE Transactions on Signal Processing, IEEE Transactions on BHI, BMC Systems Biology, Frontiers Genetics, and Neurocomputing.

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