Kevin Miller
Assistant Professor of Mathematics
Brigham Young University, Provo
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Email: ksmiller [at] math [dot] byu [dot] edu
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Background
Background
My research interests broadly lie in the mathematics of machine learning and statistical learning theory; in particular, active learning, subset selection problems, online learning, and graph-based methods.
I'm currently an Assistant Professor of Mathematics at Brigham Young University in Provo, Utah.
Previously, I was a Peter J. O'Donnell Postdoctoral Fellow at the Oden Institute at the University of Texas, Austin working with Dr. Rachel Ward. I received my Ph.D. in Mathematics from UCLA studying active learning and uncertainty in graph-based learning under the direction of Dr. Andrea Bertozzi. I was supported by the DOD's NDSEG Research Fellowship and an NSF NRT Fellowship. I completed my undergraduate degree in Applied and Computational Mathematics at BYU in Provo, Utah.
Please see my CV.
Recent News
June 2026: COLT 2026 in San Diego
May 2026: Randomized Linear Algebra Workshop @ UWisconsin
Nov 2025: Presented at Workshop on Mathematical Analysis of Machine Learning, UPitt
Nov 2025: Presented at University of Utah Math Department Colloquium
Aug 2025: Presented at Nonlinear Phenomena & Complex Systems Workshop @ UCLA (Happy Birthday, Andrea!)
May 2025: Presented at NSF CompMath PI Meeting in SLC, Utah
Apr 2025: Presented at UMN Data Science Institute ML Seminar
Oct 2024: Organized and presented in minisymposium "Active and Adaptive Sampling Methods for Data-efficient ML" at SIAM MDS 2024
Sep 2024: Started as co-organizer of the 1W MINDS Zoom seminar
Jul 2024: Paper with Adam Thorpe and Ufuk Topcu accepted to CDC 2024
Jun 2024: Moved to Brigham Young University, Provo to begin as Assistant Professor
Machine Learning Consulting
I have a passion for finding practical data-driven solutions to interesting questions in any number of applications. I previously consulted for Owlet Baby Care Inc. and other companies working on projects ranging from designing data-driven algorithms for baby health metrics to designing robust and flexible recommender systems .
If you're interested in talking to me about machine learning and data science consulting, email me @ my email address at the top of the page.
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