News

Professor Rebecca Willett of the Departments of Statistics and Computer Science, along with Professors Rina Foygel Barber and Mary Silber from Statistics, will help the four-university collaboration establish the maturing field of data science while also advancing machine learning and other artificial intelligence approaches. 

Rina Foygel Barber was awarded the 2020 COPSS Presidents' Award, on August 5, during a JSM (virtual) ceremony. This is generally considered the highest award in statistics.  Read more...

Welcome New Faculty Members!

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.

Prof. Lek-Heng Lim has been named a Fellow of the American Mathematical Society (AMS) for 2020 for his contributions to applied mathematics, particularly numerical linear algebra.

Prof. Rebecca Willett has been leading a new initiative sponsored by the Office for National Laboratories at the University of Chicago in partnership with Argonne National Laboratory and Fermilab.

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.

Tingran Gao, William H. Kruskal Instructor, has been developing geometric learning frameworks to analyze 3-D scans of complex biological surfaces. 

Kruskal Instructor Daniel Massatt Awarded the 2019 SIAM Student Paper Prize for PhD thesis research paper.

RTG Lectures on Data Science

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

Meet Visiting International Student, Merlin Pelz!

Congratulations to Mihai Anitescu for being named SIAM Fellow, Class of 2019!

June Wu Awarded NDSEG Fellowship!

Professor Greg Lawler Awarded Wolf Prize!

Admissions Application Closed!