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

Oct

25

Statistics and Probability Seminar - Zhengqing Ouyang

Zhengqing Ouyang

University of Massachusetts, Amherst

1:00pm

Statistics and Probability Seminar
Oct

25

Representation Theory - Minh-Tâm Trinh

Minh-Tâm Trinh

MIT

2:30pm

Representation Theory
Oct

26

Undergraduate Math Club - Dan Gallagher

Dan Gallagher

2:00pm

Undergraduate Math Club
Oct

26

Applied Mathematics and Computation Seminar - Richard Tsai

Richard Tsai

The University of Texas at Austin

4:00pm

Applied Mathematics and Computation Seminar
Oct

26

Five College Number Theory Seminar - Myrto Mavraki

Myrto Mavraki

Harvard University

4:00pm

Five College Number Theory Seminar
Oct

26

Five College Number Theory Seminar - Wade Hindes

Wade Hindes

Texas State University

4:00pm

Five College Number Theory Seminar

Faculty Spotlight

Andrea Nahmod receives a Samuel F. Conti Faculty Fellowship Award

The Conti Fellowship acknowledges the high quality and importance of a faculty member’s accomplishments in research and creative activity at UMass Amherst and their potential for continuing excellence, particularly with respect to the project that they propose to undertake during the fellowship.

Department News

All News

$Professor George Avrunin$

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.