Probability and Stochastic Processes
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More about probability and stochastic processes
Applied and computational probability in the department is present in the areas of:
- Data science
- Machine learning
- Mathematical biology
- Number theory
Seminars
- Weekly probability seminar
- Seminar series in data science and mathematical biology
Faculty


Sergey Bobkov
Professor
bobko001@umn.edu
geometric and functional isoperimetric inequalities, concentration of measure and isoperimetry


Jeffrey Calder
Associate Professor
jwcalder@umn.edu
partial differential equations, numerical analysis, applied probability, machine learning, image processing and computer vision



Lawrence Gray
Professor Emeritus
gray@umn.edu
probability theory, Markov processes, interacting particle systems

Gregory Handy
Assistant Professor
ghandy@umn.edu
theoretical neuroscience, applied mathematics, stochastic processes, mathematical biology, dynamical systems, and calcium dynamics

Pei-Ken Hung
Assistant Professor
pkhung@umn.edu
geometric analysis, general relativity, integrable probability


William Leeb
Assistant Professor
wleeb@umn.edu
applied mathematics, computational harmonic analysis, signal and image processing, data analysis

Yulong Lu
Assistant Professor
yulonglu@umn.edu
Mathematical foundations of machine learning and data sciences, applied probability and stochastic dynamics, applied analysis and PDEs, Bayesian and computational statistics, inverse problems and uncertainty quantification

Andrew Odlyzko
Professor
odlyzko@umn.edu
computational complexity, cryptography, number theory, combinatorics, coding theory, analysis, probability theory, ecommerce, and economics of data networks

Arnab Sen
Associate Professor
arnab@umn.edu
random graphs, random matrices, mathematical physics, discrete harmonic analysis

Mike Weimerskirch
Associate Professor
weim0024@umn.edu
combinatorial game theory, probability theory and the ranking of NCAA football teams, math education