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@math.umn.edu
probability theory, Markov processes, interacting particle systems

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

Nicolai Krylov
Samuel G. Ordway Professor
krylov@math.umn.edu
partial differential equations, probability

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

Andrew Odlyzko
Professor
odlyzko@math.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
Contract Associate Professor
weim0024@math.umn.edu
combinatorial game theory, probability theory and the ranking of NCAA football teams, math education