Probability and Stochastic Processes
+
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
[email protected]
geometric and functional isoperimetric inequalities, concentration of measure and isoperimetry
Jeffrey Calder
Associate Professor
[email protected]
partial differential equations, numerical analysis, applied probability, machine learning, image processing and computer vision
Lawrence Gray
Professor Emeritus
[email protected]
probability theory, Markov processes, interacting particle systems
Gregory Handy
Assistant Professor
[email protected]
theoretical neuroscience, applied mathematics, stochastic processes, mathematical biology, dynamical systems, and calcium dynamics
William Leeb
Associate Professor
[email protected]
applied mathematics, computational harmonic analysis, signal and image processing, data analysis
Yulong Lu
Assistant Professor
[email protected]
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
[email protected]
computational complexity, cryptography, number theory, combinatorics, coding theory, analysis, probability theory, ecommerce, and economics of data networks
Arnab Sen
Associate Professor
[email protected]
random graphs, random matrices, mathematical physics, discrete harmonic analysis
Mike Weimerskirch
Associate Professor
[email protected]
combinatorial game theory, probability theory and the ranking of NCAA football teams, math education