Kevin Miller
Peter J. O'Donnell Jr. Postdoctoral Fellow
at The Oden Institute at UT Austin
CV | GitHub | LinkedIn | GoogleScholar
Email: ksmill327 [at] gmail [dot] com
Background
I am pleased to announce that beginning in June 2024, I will start as an Assistant Professor in the Department of Mathematics at Brigham Young University, Provo! I am currently a Peter J. O'Donnell Postdoctoral Fellow at the Oden Institute at the University of Texas, Austin working with Dr. Rachel Ward.
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.
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 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
Mar 2023: Presented at UT Dallas Computational Mathematics Seminar
Jan 2023: Presented at JMM 2023 in Boston, MA at the Mathematical Methods in Machine Learning and Optimization session
Nov 2022: Returned to my alma-mater to present at BYU Mathematics Seminar
Sep 2022: Co-organized and presented in minisymposium "Graph-based Methods In Low-label Rate Machine Learning" at SIAM MDS 2022
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.