Past Events

2023

Gregory Lawler

Probability Seminar: Greg Lawler

1:30–2:30 pm Eckhart 202

Greg Lawler, University of Chicago
“TBA”

Oct 18
Paul Francois

Computations in Science Seminars: Paul Francois

12:15–1:15 pm KPTC 206

Paul Francois, Universite de Montreal
Host: Elizabeth Jerison (ejerison@uchicago.edu)
“Uncovering Immune Computation: from theory to immunotherapy”

Oct 18
Sabine Kastner

Neuroscience Seminar Series: Sabine Kastner

4:30–5:30 pm KCBD 1103

Sabine Kastner, Princeton University
“Neural dynamics of the primate attention network”

Oct 17
Moritz Munchmeyer

Data Science Institute, AI+Science Schmidt Fellows Speaker Series: Moritz Münchmeyer

4:30–5:30 pm William Eckhardt Research Center, Room 401

Moritz Münchmeyer, UW Madison
“Probing the Universe with AI - Probabilistic Machine Learning in Cosmology”

Oct 17
Aaron Groff, MS Student

Student Seminar: Aaron Groff

3:00–3:30 pm Jones 111

Master’s Thesis Presentation
Aaron Groff, Department of Statistics, The University of Chicago
“Estimating the Cost of Providing Liquidity for an Options Automated Market Maker”

Oct 17
Abigail Poteshamn, CCAM PhD Student

CAM and Stats Student Seminar: Abigail Poteshman

1:30–2:30 pm Jones 303

Abigail Poteshman, Committee on Computational and Applied Mathematics
“Implementing and leveraging fast algorithms for high-throughput materials characterizations”

Oct 17
Aaron Ragsdale

Ecology and Evolution Seminars: Aaron Ragsdale

3:30–4:30 pm KCBD 1103

Aaron Ragsdale, University of Wisconsin-Madison
“Archaic introgression and the shared distribution of functional variation.”

Oct 16
Dmtry Krachun

Probability and Statistical Physics Seminar: Dmtry Krachun

1:30–2:30 pm Eckhart 202

Dmitry Krachun, University of Geneva
“TBA”

Oct 16
Yejiin Choi

TTIC at Chicago, Distinguished Lecture Series: Yejin Choi

11:30 am–12:30 pm TTIC 5-530

Yejin Choi, University of Washington
“Possible Impossibilities and Impossible Possibilities”

Oct 16
Amy Greenwald

Computer Science Seminar: Amy Greenwald

11:00 am–12:00 pm Location TBA

Amy Greenwald, Brown University
“From Min-max Optimization to Stackelberg Games: Solutions and Applications”

Oct 16