Probability & Stochastic Processes
The field of stochastic processes is the study of the evolution of groups of random variables over time. This provides a useful mathematical framework in the modeling of many real-world applications, from stock markets to biological phenomena.
Brink Hall 322
Research: Mathematical Theory of Deep Learning; Optimization Algorithms; Approximation Theory in Neural Networks; Metric Entropy and its applications in Probability and Statistics.
View Frank Gao's profile
Brink Hall 421
Research: Analysis and Differential Equations, Mathematical Biology, Bioinformatics, and Computational Biology, Probability and Stochastic Processes
View Steve Krone's profile
Brink Hall 327