Upcoming Events

Events coming soon:

Summer Workshop on Character Sheaves on Loop Groups

Overview

Lusztig's theory of character sheaves for reductive groups provides powerful geometric tools for harmonic analysis over finite fields. In recent years, there has been impressive development in the generalization of character sheaves theory to loop groups. These advances uncover deep geometric structures underlying representation and harmonic analysis over p-adic fields, leading to new perspectives on the local aspect of the arithmetic and geometric Langlands program. We are hosting a workshop with lectures covering a broad range of topics connected with character sheaves on loop groups, its applications, and related future directions.

Registration

Registration and applications for travel support are now being accepted.

Apply today!

Registration Deadline: June 8, 2026

To apply for funding you must register by: February 28, 2026

Special lecture

George Lusztig (MIT)

Speakers

Alexis Bouthier (Paris)
Roman Bezrukavnikov (MIT), tbc
Charlotte Chan (Michigan)
Ngo Bao Chau (Chicago)
Gurbir Dhillon (UCLA)
Tasho Kaletha (Bonn/Michigan)
Cheng-Chiang Tsai (Academia Sinica, Taipei)
Yakov Varshavsky (Hebrew University)
David Yang (MIT)
Zhiwei Yun (MIT)
Xinwen Zhu (Stanford), tbc

Organizers

Tsao-Hsien Chen (UMN)
Mark Macerato (UMN)
Cheng-Chiang Tsai (Academia Sinica, Taipei)

Logistics

Getting to UMN

The Minneapolis-Saint Paul International Airport (MSP) is conveniently located nearby Downtown Minneapolis. The airport is connected to the city center and to the UMN campus by public transport, particularly the Metro Blue Line.
Metro Transit is the Minneapolis / St. Paul public transportation system – it includes bus and train services that run from very early morning until late in the evening.
Bicycles and scooter rentals are available from Lime, Spin, and Veo.

Child care

Care.com connects visiting families with experienced local caregivers.

Explore the Twin Cities

Looking for things to do while in Minneapolis? Here are some great resources:

This workshop is supported by the U.S. National Science Foundation grant #DMS-2143722.

Mathematics of Data Science Summer School

In this two-week summer school for advanced undergraduate students, participants will be introduced to the mathematics underlying selected fundamental algorithms in data science, with a focus on methods of unsupervised learning for embedding and clustering data. Students will learn topics from high-dimensional probability, random matrix theory, graph theory, optimal transport, and spectral theory, among others. The material is geared toward students considering graduate study in the mathematics of data science.

Registration and Financial Support

Financial support in the form of reimbursement of travel and living expenses will be provided to facilitate students' participation. To apply, please submit your application materials at the link below. The application deadline is February 16, 2026.