Abstract:

 

Dr. Guo Yu joined the PSTAT department at UCSB in fall 2020. Before that, He was a postdoctoral research associate at the University of Washington, working with Daniela Witten at UW and Jacob Bien at USC. He received his Ph.D. in statistics in 2018 from Cornell University. He enjoys working on applied statistics problems with large scale and high-dimensional data. He is broadly interested in statistical learning problems, from both computational and theoretical perspectives. In this talk, He will briefly talk about my research interest in multiple testing, interaction models, and structure sparsity.

 

 

Dr. Ruimeng Hu is an Assistant Professor jointly in the Department of Mathematics, and the Department of Statistics and Applied Probability at the University of California, Santa Barbara. She received her Ph.D. degree in statistics and applied probability at UCSB in 2018. After that, she spent two years as a term assistant professor in the Department of Statistics at Columbia University. Her current research interests lie in the interdisciplinary area of machine learning, financial mathematics, and game theory. Other research topics include mean-field games, machine learning in ranking response surfaces, portfolio optimization, stochastic volatility asymptotics, systemic risk modeling.

 

 

Dr. Mengyang Gu joined the Department of Statistics and Applied Probability at the University of California, Santa Barbara as an assistant professor in 2019. Prior to this appointment, he received his bachelor's degree at Zhejiang University in 2012 and doctorate at Duke University in 2016. He worked as an assistant research professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University from 2016 to 2019. He is interested in probabilistic models of time series, images, tensors, computer model simulation, spatio-temporal data and functional data, with emphasis on scalar computation and theoretical properties. His research has applications in geological hazard quantification, mathematical models of infectious disease, epigenetics, microscopy and molecular dynamic simulation.