Kevin K Lin

Department of Mathematics
University of Arizona
617 N. Santa Rita Ave.
Tucson, AZ 85721-0089

Phone: (520) 626-6628
E-mail: klin@math.arizona.edu

URL: http://www.math.arizona.edu/~klin

Positions held

2013 - 2014: Visiting Scholar, UC Berkeley and LBL Math Group
Fall 2009: SAMSI Research Fellow
2007 - present: Department of Mathematics, University of Arizona
- Associate Head for STEM Instruction (Spring 2018 - Summer 2021)
- Graduate interdisciplinary programs: Applied Mathematics (2008 - present); Statistics & Data Science (2014 - present); Cognitive Science (2015 - present); Neuroscience (2017 - present)
2003-2007: NSF Postdoctoral Fellow
Courant Institute of Mathematical Sciences
New York University
Mentor: Lai-Sang Young

Education and training

2003: PhD in Mathematics
Hertz Fellow and ARCS Foundation Scholar
University of California at Berkeley
Advisor: Alexandre Chorin
Thesis: Random perturbations of SRB measures and numerical studies of chaotic dynamics
1997: MEng & SB in Computer Science and Engineering, MIT
Advisor: Gerald Jay Sussman
Thesis: Coordinate-independent computations on differential equations
1996: SB in Mathematics
Goldwater Scholar
Massachusetts Institute of Technology

Funding

2023 - present: Simons Foundation Travel Support for Mathematicians MP-TSM-00002687
2020 - 2025 (est.): NSF grant DMS-1937229 RTG: Applied Mathematics and Statistics for Data-Driven Discovery (PI, with co-PIs Misha Chertkov, David Glickenstein, Laura Miller, Matti Morzfeld, and Helen Zhang)
2018 - 2021 (est.): NSF grant DMS-1821286 CDS&E-MSS: Predictive Modeling and Data-Driven Closure of Chaotic and Noisy Dynamics in Discrete Time (PI)
2014 - 2018: NSF grant DMS-1418775 Computational Nonlinear Dynamics: Variance Reduction Methods and Numerical Studies of Large, Chaotic, and Noisy Systems (PI)
2009 - 2013: NSF grant DMS-0907927 Computational Analysis of Large Dynamical Systems (PI)
2003 - 2007: NSF Mathematical Sciences Postdoctoral Research Fellowship
1999 - 2003: Fannie and John Hertz Foundation Fellowship
1997: ARCS Foundation Scholarship
1995 - 1996: Barry M. Goldwater Scholarship

Publications

Please see my research page.

Teaching

Please see my teaching page.

Editorial boards

Current students

Ben Stilin	Applied Mathematics
Alexa Aucoin	Applied Mathematics

Alumni

Jared McBride	PhD, Program in Applied Mathematics, 2023, wrote a dissertation on the estimation of high-contrast spectra via iterated whitening. Jared is now an Assistant Professor of Mathematics at Southern Virginia University.
Zach Schlamowitz	BS Mathematics 2023. Zach will be attending the Computational Medicine PhD program at UCLA.
Lane Robert Lewis	Neuroscience and Mathematics, UA Class of 2022. Lane is now studying Statistics/Neural Computation at CMU.
Florence Dungan	MS Mathematics, 2021. Florence wrote her MS thesis on a nonparametric test for equality of distributions
Zhuo-Cheng Xiao	PhD, Program in Applied Mathematics, 2020 (co-advised with Jean-Marc Fellous), wrote a dissertation on neuronal oscillations: in hippocampal functions and in simulations. After a Swartz Fellowship at the Courant Institute of Mathematical Sciences at New York University, Zhuo-Cheng is now an Assistant Professor at NYU-Shanghai.
Andrew Gordon	BS in Mathematics 2019. Andrew wrote an Honors Thesis on extending the group invariance theorem for perceptrons and went on to work at Epic.
Patrick Greene	PhD Applied Mathematics 2018. Dissertation: A Bayesian approach to spike sorting of neural data via source localization, now a postdoc in the Neuromedical Control Systems Lab in Biomedical Engineering at Johns Hopkins University
Laura Figueroa Resa	Summer student 2016 (co-advising with Tracy Stepien) visiting from UNAM via UA Global Initiative
Lizzie Hannah	BS in Mathematics UA 2017. Lizzie wrote an Honors Thesis on constraining frisbee tracking methods through Bayesian analysis of flying disc models; the project is really the brainchild of Physics graduate student Tom McClintock. Lizzie is now studying law at the University of Arizona.
Dustin Keys	BS in Mathematics UA 2012. Dustin earned a PhD in Applied Mathematics from the University of Arizona in 2022.
Andrew Leach	PhD Applied Mathematics 2017 (co-advised with Matti Morzfeld) wrote a dissertation on Monte Carlo methods for stochastic differential equations and their applications. Andrew now works at Google.
David Lyttle	PhD Applied Mathematics 2013 (co-advised with Jean-Marc Fellous). Dissertation: Inhibition-mediated neural dynamics in the rodent spatial navigation system. David was awarded an NSF Postdoctoral Fellowship at Case Western Reserve University. He is now a scientist at Finch Therapeutics.
Kyle Marshall	BS in Mathematics UA 2009. Kyle earned a PhD in from the University of Zürich.
Megan Shearer	BS in Mathematics UA 2016. Megan wrote a thesis on implicit sampling and particle filters, and earned a PhD in Computer Science from the University of Michigan in 2022.
Vera Thornton	BS in Mathematics UA 2017. Vera wrote two Honors Theses, one with me on in-silico evolution of gene regulatory networks and another with Bob Wilson on decsion making. Vera is now a MD/PhD candidate at Washington University in St Louis.
Jason Xu	BS in Mathematics UA 2012. Jason wrote an Honors Thesis on MCMC, went on to earn a PhD in Statistics from the University of Washington. After an NSF Postdoctoral Fellowship in Biomathematics at UCLA, he is now an Assistant Professor of Statistics at Duke University.

This page was last updated on July 14, 2024.