Fifth Annual · Stony Brook University AMS

Recent Trends in Machine Learning and Risk Management

A two-day workshop at the intersection of machine learning, quantitative finance, risk management, optimization, and statistical learning.

Date October 19–20, 2026
Venue Applied Mathematics & Statistics, Stony Brook University
Participation In person

Workshop Outline

The Fifth Workshop on Recent Trends in Machine Learning and Risk Management will take place on October 19–20, 2026, at Stony Brook University. The workshop will bring together academics, students, alumni, and industry participants for a two-day event focused on recent developments at the intersection of machine learning, quantitative finance, risk management, optimization, and statistical learning.

We expect discussion around modern AI, agentic systems, quantitative finance, advanced optimization, and statistical learning. The program will include research talks, industry panels, and open discussions, with dedicated time for exchange across academic, student, alumni, and practitioner groups.

The objective is to create a setting for exchange between academic researchers and practitioners, with attention to both methodological advances and real-world applications.

Topics of Interest

As in previous years, the workshop is expected to include a mix of academic and industry perspectives. Past editions have included speakers from institutions and firms such as Bloomberg, Schonfeld, Two Sigma, Goldman Sachs, Carnegie Mellon University, the University of Washington, Columbia University, Rutgers University, and others.

Program

The detailed schedule is available as a downloadable PDF.

Download Program (PDF) — coming soon

Hotel Information

A discounted room block is available for attendees at the Hilton Garden Inn Stony Brook — $229.00/night, with a booking cut-off of September 11, 2026.

Hotel & Booking Details

Organizers

Stony Brook University

PP

Pawel Polak

Applied Mathematics & Statistics, Stony Brook University

Website ↗

SU

Stan Uryasev

Applied Mathematics & Statistics, Stony Brook University

Website ↗

Sponsors

Applied Mathematics and Statistics Department, Stony Brook University

Directions

Stony Brook University is located on the north shore of Long Island, about 50 miles east of New York City. It is easily reached by train or car. See Campus Directions.

The workshop will be held at the Math Tower building, located next to the Simons Center for Geometry and Physics. You can view directions to the Math Tower building on Google Maps here. You can also search in Google or Apple Maps for the Simons Center for Geometry and Physics.

Contact Information

Prof. Pawel Polak

Applied Mathematics & Statistics
Institute for Advanced Computational Science
Stony Brook University

pawel.polak@stonybrook.edu

Prof. Stan Uryasev

Applied Mathematics & Statistics
Stony Brook University

stanislav.uryasev@stonybrook.edu

Mrs. Zilin Chen

Applied Mathematics & Statistics
Stony Brook University

zilin.chen@stonybrook.edu