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Mathematics

Silas Alben

I develop and use optimization algorithms (Newton-based, gradient-based, and genetic algorithms) to understand problems in fluid and solid mechanics with applications to biology. Examples of optimally efficient snake locomotion

Karen Smith

I work in algebraic geometry, especially over finite fields. The set of points on an algebraic variety over particular subfields forms an interesting sequence of data sets. Studying it may, I hope, unlock some secrets of algebraic curves or surfaces or higher dimensional objects. I am also interested in connecting statistical forms of AI (machine ...

Erhan Bayraktar

Erhan Bayraktar, PhD, the holder of the Susan Smith Chair, is a full professor of Mathematics at the University of Michigan, where he has been since 2004. Professor Bayraktar’s research is in stochastic analysis, control, applied probability and mathematical finance. He has over 120 publications in top journals in these areas. Professor Bayraktar is recognized ...

Danny Forger

Daniel Forger is a Professor in the Department of Mathematics. He is devoted to understanding biological clocks. He uses techniques from many fields, including computer simulation, detailed mathematical modeling and mathematical analysis, to understand biological timekeeping. His research aims to generate predictions that can be experimentally verified.

Jeffrey C. Lagarias

Jeffrey C. Lagarias is the Harold Mead Stark Collegiate Professor of Mathematics in the College of Literature, Science, and the Arts at the University of Michigan, Ann Arbor. Prof. Lagarias’ research interests are diverse. His initial training was in analytic and algebraic number theory. After receiving his PhD in 1974, he worked at Bell Laboratories and ...

Martin J. Strauss

Martin J. Strauss, PhD, is Professor of Mathematics, College of Literature, Science, and the Arts and Professor of Electrical Engineering and Computer Science, College of Engineering, in the University of Michigan, Ann Arbor. Prof. Strauss’ interests include randomized approximation algorithms for massive data sets, including, specifically, sublinear-time algorithms for sparse recovery in the Fourier and ...

Indika Rajapakse

Indika Rajapakse, PhD, is Professor of Computational Medicine & Bioinformatics, Medical School, with a secondary appointment in Mathematics, College of Literature, Science, and the Arts at the University of Michigan, Ann Arbor. Prof. Rajapakse’s research is focused on the dynamics of genome organization in human cells, with emphasis on gaining a deeper understanding of how the ...

Mahesh Agarwal

Prof. Agarwal’s is primarily interested in number theory, in particular in p-adic L-functions, Bloch-Kato conjecture and automorphic forms. His secondary research interests are polynomials, geometry and math education, Machine Learning, and healthcare analytics.

Shravan Veerapaneni

Dr. Veerapaneni’s research group develops fast and scalable algorithms for solving differential and integral equations on complex moving geometries. Application areas of current interest include large-scale simulations of blood flow through arbitrary confined geometries, electrohydrodynamics of soft particles and heat flow on time-varying domains. Accomplishments and Awards 2023 Propelling Original Data Science (PODS) Grant Award: Neural ...

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Applications

Mahesh Agarwal

Associate Professor, Mathematics and Statistics, College of Arts, Sciences, and Letters

Silas Alben

Professor, Mathematics

Erhan Bayraktar

Professor, Mathematics, LSA

Danny Forger

Professor, Mathematics, LSA Center for Computational Medicine and Bioinformatics Center for Systems Biology

Jeffrey C. Lagarias

Professor, Mathematics, LSA

Indika Rajapakse

Professor, Computational Medicine and Bioinformatics, Medical SchoolMathematics, LSA

Mehrdad Simkani

Professor, Mathematics, LSA

Karen Smith

William Fulton Distinguished University Professor

Mathematics, LSA

Martin J. Strauss

Professor, EECS, College of Engineering Mathematics, LSA