KeyNote Speakers:
Dr. Chen is an Assistant Professor in the School of Data Science and Society (SDSS) with a second appointment in the Department of Mathematics at the University of North Carolina at Chapel Hill. He is also an affiliate member of Carolina Center for Interdisciplinary Applied Mathematics (CCIAM).
His research interests span a diverse range of fields, including control theory, network science, tensor algebra, numerical analysis, data science, machine learning, deep learning, hypergraph learning, data analysis, and computational biology.
Dr.Chen received his B.S. degree in Mathematics (with minor in Statistics) from the University of California, Irvine in 2016, and his M.S. degree in Electrical & Computer Engineering and his Ph.D. degree in Applied & Interdisciplinary Mathematics (supervised by Dr. Anthony M. Bloch & Dr. Indika Rajapakse) from the University of Michigan in 2020 and 2021, respectively. He was a Postdoctoral Research Fellow in the Channing Division of Network Medicine (CDNM) at Brigham and Women’s Hospital and Harvard Medical School from 2021 to 2023.
Thomas Anderson joined Rice in 2023 as an assistant professor in the Department of Computational Applied Mathematics and Operations Research. Previously he was a postdoc in the mathematics department at the University of Michigan, and was a graduate student in applied and computational mathematics in the Department of Computing+Mathematical Sciences (CMS) at Caltech. He spent the summer of 2016 as a visiting student at the Lawrence Livermore National Laboratory. Thomas completed his undergraduate studies in applied mathematics at the New Jersey Institute of Technology.
Thomas Anderson’ research interests lay in the areas of numerical analysis, spectral methods, scientific computing and numerical methods for PDEs. He is currently working on evaluation of singular integral operators in potential theory and integral equations, for which he designs high-order accurate discretization schemes and fast algorithms with applications in wave propagation and fluid dynamics. Recently he has been interested in problems in potential theory that necessitate volumetric discretization as well as in the development of high-fidelity and highly-parallelizable algorithms for wave propagation that allow for reliable long-time simulation. He has been involved in open-source software activities and the Linux community since he was age 12; currently he contributes to open-source integral equations packages in the julia ecosystem through the Inti.jl package.