The Data Science and Machine Learning Seminar as a regular seminar in the Department of Mathematics at the Florida State University. Beginning in Fall 2025, the seminar will collaborate with the Artificial Intelligence Seminar of the Department of Scientific Computing. Together, they will host two joint talks: one in the Department of Mathematics and one in the Department of Scientific Computing.
The organizers of the Data Science and Machine Learning Seminar are Martin Bauer and Tom Needham. Please contact one of the organizers if you have any questions and/or wish to give a talk in our seminar.
A schedule of the upcoming semester can be found below. An archive of schedules of previous semesters can be found here. Unless otherwise noted, all meeting will be held on Fridays at 1:20 p.m. in Love 106.
Fall 2026
08/28/2026
Organizational Meeting
09/01/2026 --- Using AI in Mathematical Research I: Joint Talk on with the ACM Seminar
!!!Special Location, Day and Time: Tuesday, 3:05pm in Lov 231!!!
Speaker: Sanghyun Lee
Title: AI-Assisted Computational Mathematics Research Workflows, Boundaries, and Verification
09/11/2026
09/18/2026
09/25/2026 --- Panel-Discussion "Mathematics at a Turning Point? AI, Research, and the Next Generation." (Zoom)
Speakers: Ettore Aldrovandi (FSU), Jeremy Avigad (CMU), Tony Feng (Berkeley), Javier Gomez-Serrano (Brown), Alex Kontorovich (Rutgers, University)
10/02/2026 --- Data Ethics
Speaker: Zina Ward (FSU)
10/09/2026 --- An Introduction to Lean (Zoom)
Speaker: Michael Rothgang (Bonn University)
10/16/2026 --- Using AI in Mathematical Research II
Speaker: Dustin Mixon (OSU)
10/23/2026 --- Joint Seminar with the SC Artificial Intelligence Seminar
!!!Special Location and Time: 499 Dirac Science Library at 12:00pm!!!
Speaker: TBA
10/30/2026
Speaker: Rongjie Lai (Purdue University)
11/06/2026 --- Grad Student Flash Talks: "Geometric Methods for Data Science"
Speaker: TBA
11/13/2026 --- Computational Linguistics
Speaker: Thomas Juzek (FSU)
12/04/2026 --- Optimal Transport
Speaker: Levin Maier (IAS Princeton)