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 data science and statistical learning theory; in particular, active learning, subset selection problems, and graph-based methods.
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
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
Dec 2023: Presented poster at NEURIPS 2023
Oct 2023: Presented at the SIAM Great Lakes Meeting at Michigan State University
Sep 2023: Presented at the Babuska Forum Seminar at the Oden Institute at UT Austin
Summer 2023: Papers accepted for publication at NeuRIPS 2023 (Poster), SIAM Mathematics of Data Science, and Springer Nature's Communications on Applied Mathematics and Computation
Apr 2023: Gave talk over Zoom In the One World Seminar Series on Mathematics of Machine Learning
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, click here.
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