Department of Mathematics and Statistics at UMass Amherst

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Research Overview

Our department conducts research in a wide range of areas in mathematics and statistics.

Upcoming Events

Nov

29

Mathematical and Computational Biology Seminar - Belinda Akpa

Belinda Akpa

Department of Energy

11:00am

Mathematical and Computational Biology Seminar
Nov

29

Joint Math/Physics Seminar - Filip Dul

Filip Dul

UMass Amherst Math&Stat

12:15pm

Joint Math/Physics Seminar
Nov

29

Statistics and Probability Seminar - Ruobin Gong

Ruobin Gong

Rutgers University

1:00pm

Statistics and Probability Seminar
Nov

29

Representation Theory - David Ben-Zvi

David Ben-Zvi

University of Texas, Austin

2:30pm

Representation Theory
Nov

30

Thesis Defense - Arie Stern

Arie Stern

10:00am

Thesis Defense
Nov

30

Undergraduate Math Club - Wei Zhu

Wei Zhu

2:00pm

Undergraduate Math Club

Faculty Spotlight

Professor Markos Katsoulakis and Professor Luc Rey-Bellet will help develop new machine learning approach for applied sciences and engineering

Thanks to a $1.95 million grant from the Air Force Office of Scientific Research, Professor Markos Katsoulakis and Professor Luc Rey-Bellet from the department, and Paul Dupuis, of Brown University, will spend the next four years developing a new approach to machine learning that extends beyond the traditional reliance on big data.

L-Markos Katsoulakis and R-Luc Rey-Bellet

Department News

All News

$Professor Andrea Nahmod$

Andrea Nahmod receives Samuel F. Conti Faculty Fellowship Award for 2020-2021
$Professor George Avrunin$

George Avrunin wins SIGSOFT award

The SIGSOFT Impact Paper award recognizes the breadth and vitality of the software engineering community.
$Machine learning algorithms$

Faculty members develop more trustworthy algorithms to predict extreme events

Luc Rey-Bellet and Markos Katsoulakis were awarded a three-year, $370,000 grant from to build new mathematical tools that will lead to more reliable and predictive models for extreme events.
$Professor Markos Katsoulakis$

Katsoulakis develops more trustworthy AI methods

Professor Markos Katsoulakis and colleagues reported that they have developed a mathematical and computational framework that provides more trustworthy models and algorithms for probabilistic artificial intelligence-based modeling.

Explore Our Department

Award-winning teaching, research opportunities, and interdisciplinary programs in a diverse, inclusive community of excellence.