News: Events

Workshop on Mathematical Trends in Medical Imaging August 7-10, 2023

CAM & Stats MS students attended a picnic at Promontory Point. 

Professor Mary Silber and CAM PhD students Phillip Lo, Peter Nekrasov and Abby Poteshman, presented their research at the annual American Physical Society (APS) March meeting in Las Vegas, NV.  

MCAM students attended a social dinner on February 24th at a Hyde Park restaurant.

CAM PhD students & faculty get together for a belated holiday and Winter quarter party.

CAM PhD Student Phillip Lo awarded a Chicago Center for Teaching Fellowship
 

Computational and Applied Mathematics Welcomes New PhD Students

CAM PhD Student Solomon Quinn Awarded Harper Dissertation Fellowship by the Physical Sciences Division

CAM PhD Student Adela DePavia Awarded NSF Fellowship!
 

Admissions Application Open!

Rebecca Willett Selected as a SIAM Fellow for 2021

September 13, October 18 and 24
University of Chicago

The GROW 2020 conference is aimed at female-identified undergraduate students who may be interested in pursuing a graduate degree in the mathematical sciences. The conference is open to undergraduates from U.S. colleges and universities, including international students.  Visit: https://mathematics.uchicago.edu/grow2020/ for detailed  information and updates.

Applications for GROW 2020 can be submitted at https://www.mathprograms.org/db/programs/966 starting April 6, 2020. The committee is currently screening applications; those submitted by September 1, 2020 will be given full consideration.

This event is being supported by the University of Chicago Department of Mathematics and the National Science Foundation.

Due to the evolving COVID-19 situation, the event has been postponed. This page will be updated when more information becomes available.

The workshop Mathematical Trends in Medical Imaging, organized by the Committee on Computational and Applied Mathematics (CCAM) at the University of Chicago, will bring together researchers working on both theoretical and practical aspects of inverse problems to discuss recent trends and new challenges in the field, mainly focusing on its applications in medical imaging. Topics include, but are not limited to, mathematical modelling, analytic and geometric methods, computational approaches and numerical algorithms.

RTG Lectures on Data Science

Videos and slides from the lectures are now available on the Event Website.

Admissions Application Open!