Mathematical and Statistical Sciences

This research has the potential to make a meaningful impact on society by helping public agencies make investment decisions that are not only efficient but also equitable and broadly supported by the communities they serve.

CU Denver researchers use PODMM to speed up rarefied gas transport modeling in nanoporous media while maintaining strong accuracy.

CLAS celebrates Farhad Pourkamali-Anaraki’s SDM 2026 paper acceptance on conformal prediction for trustworthy aerial image classification in data-scarce settings.

CU Denver celebrates a CLAS research paper accepted to SIAM SDM 2026, advancing more reliable predictive uncertainty for real-world machine learning.

Big congratulations to J. Carlos Martínez Mori from CU Denver’s Department of Mathematical and Statistical Sciences and his co-authors Ari Cruz, Bruce Fang, and Pamela E. Harris on receiving the 2026 Mathematical Association of America (MAA) Trevor Evans Award.

Join us in congratulating Andrew Kitterman (PhD student), Yaning Liu (PhD advisor), and their co-authors on their recent publication!

CU Denver’s Troy Butler co-authors a new paper introducing iDCI, a convergent approach for uncertainty quantification with multiple observed datasets.

Associate Professor Diana White and Senior Instructor Pamela Whitten have been awarded a $20,000 Spring 2026 CU System AI Sprint Grant: AI for Teaching & Learning.

We’re excited to share that our faculty member Yaning Liu and research assistant Michael have published a new research paper! Their work highlights important contributions to the field and showcases the impactful research happening in our department. Congratulations to Yaning Liu and Michael on this fantastic achievement! Read the Full...

A new research article by Dr. Troy Butler, faculty member in the department, and his co-authors has been published in the International Journal for Uncertainty Quantification.