2022-2023 Colloquia

Meetings to be held Tuesdays from 4:10 – 5:00 in 205 Carver, unless otherwise noted.



August 30, 2022
September 6, 2022
September 13, 2022
Hold for Faculty Meeting
September 20, 2022
September 27, 2022Promotion Talk Shira Zerbib
October 4, 2022Promotion TalkJennifer Newman
October 11, 2022

Inclusive Classroom TrainingThis will be held virtually.
October 18, 2022Promotion TalkClaus Kadelka
October 25, 2022Promotion Cases
November 1, 2022Promotion Case
November 8, 2022Promotion Case
November 15, 2022
November 22, 2022Thanksgiving Break
November 29, 2022
December 6, 2022Discrete mathProf. Maria Axenovich, Karlsruhe Institute of Technology, Germany
December 13, 2022Finals Week
December 20, 2022Winter Break
December 27, 2022Winter Break
January 3, 2023Winter Break
January 10, 2023Winter Break
January 17, 2023
January 24, 2023
January 31, 2023
February 7, 2023
February 14, 2023Faculty Meeting
February 21, 2023
February 28, 2023
March 7, 2023Joint Mathematics-TADS ColloquiumDr. S. Joshua Swamidass, Washington University in St. LouisABSTRACT: Deep learning, an approach to machine learning, is coming of age, establishing itself as a transformative approach to understanding data, enabling advances in several scientific domains. Our group has been using deep learning for more than a decade to understand key questions in drug metabolism and healthcare. For example, drugs often become "bioactivated" by metabolism into toxic metabolites, and we showed this complex process can be accurately modelled by graph neural networks. Likewise, we showed that convolutional neural networks can increase the supply of kidneys for transplantation, by more precisely and reproducibly measuring key predictors of kidney graft survival. In these problems, and many others, deep learning is showing how mathematical and computational advances are enabling important advances in science and healthcare.
March 14, 2023Spring Break
March 21, 2023TBD
March 28, 2023Mathematical Biology SeminarDavid Murrugarra, University of Kentucky
April 4, 2023Pierre Jabin, Penn State
April 14, 2023
(Please note this is not at the regular Tuesday time. Room TBD)
Special Mathematics Colloquium: Do Dogs Know Calculus? Bifurcations at the Beach
Dr. Tim PenningsAbstract: We will show that dogs - at least my dog, Elvis - knew calculus. That is, Elvis could find the optimal - fastest - route to a ball thrown into the water some distance down the beach. But what happened when Elvis is positioned in the water and retrieved a ball that is also in the water? When should he swim straight to the ball, and when should he swim in to the shore, run along the shore, and then swim back out to the ball? What is the bifurcation point for the change in optimal strategy? Did Elvis bifurcate? Did his fur bicate?
April 18, 2023
April 25, 2023Reinhard Laubenbacher, University of Florida
May 2, 2023
May 9, 2023Finals Week