Adityanand Guntuboyina Dept of Statistics nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Ryan Giordano Dept of Statistics machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Vadim Gorin Dept of Mathematics Dept of Statistics integrable probability, random matrices, asymptotic representation theory, 2d statistical mechanics, interacting particle systems, high-dimensional statistics
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Nikita Zhivotovskiy Dept of Statistics mathematical statistics, applied probability, statistical learning theory
Dan-Virgil Voiculescu Dept of Mathematics operator algebras, free probability theory, random matrices, K-theory of operator algebras, single operator theory
Sung-Hou Kim Dept of Chemistry computational genomics, Genomic susceptibility of common diseases, Genomic Tree of Life, Demography of human genome diversity
Nilah Ioannidis Division of Computer Science (EECS) computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics
Mahesh Srinivasan Dept of Psychology flexible and pragmatic uses of language, representation of abstract concepts, linguistic relativity, social cognitive development in different cultural contexts
Adityanand Guntuboyina
Adityanand Guntuboyina
Adityanand Guntuboyina
