# Ezra Miller

- Professor of Mathematics
- Professor in the Department of Statistical Science (Secondary)

**External address:**209 Physics Bldg, 120 Science Drive, Durham, NC 27708

**Internal office address:**Box 90320, Durham, NC 27708-0320

**Phone:**(919) 660-2846

Professor Miller's research centers around problems in geometry, algebra, topology, combinatorics, statistics, probability, and computation originating in mathematics and the sciences, including biology, chemistry, computer science, and medical imaging.

The techniques range, for example, from abstract algebraic geometry or commutative algebra of ideals and varieties to concrete metric or discrete geometry of polyhedral spaces; from deep topological constructions such as equivariant K-theory and stratified Morse theory to elementary simplicial and persistent homology; from functorial perspectives on homological algebra in the derived category to specific constructions of complexes based on combinatorics of cell decompositions; from geodesic contraction applied to central limit theorems for samples from stratified spaces to dynamics of explicit polynomial vector fields on polyhedra.

Beyond motivations from within mathematics, the sources of these problems lie in, for example, graphs and trees in evolutionary biology and medical imaging; mass-action kinetics of chemical reactions; computational geometry, symbolic computation, and combinatorial game theory; and geometric statistics of data sampled from highly non-Euclidean spaces. Examples of datasets under consideration include MRI images of blood vessels in human brains and in mouse lungs, vein structures in fruit fly wings for developmental morphological studies, and atmospheric pressure elevation as a time-varying function on the globe.

Integrative Middle School STEM Teacher Preparation: A Collaborative Capacity Building Project at Duke University awarded by National Science Foundation (Co Investigator). 2014 to 2017

Combinatorics in geometry awarded by National Science Foundation (Principal Investigator). 2010 to 2016

Conference Proposal: Meeting on Combinatorial Commutative Algebra (MOCCA 2014) awarded by National Science Foundation (Principal Investigator). 2014 to 2015

CAREER: Discrete Structures in Continuous Contexts awarded by National Science Foundation (Principal Investigator). 2009 to 2011

Berenstein, A, Braverman, M, Miller, E, Retakh, V, and Weitsman, J. "Andrei Zelevinsky, 1953–2013." *Advances in Mathematics* 300 (September 2016): 1-4.
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Berenstein, A, Braverman, M, Miller, E, Retakh, V, and Weitsman, J. "Andrei Zelevinsky, 1953-2013." *Advances in Mathematics* 299 (August 20, 2016): 601-604.
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Kahle, T, Miller, E, and O’Neill, C. "Irreducible decomposition of binomial ideals." *Compositio Mathematica* 152.06 (June 2016): 1319-1332.
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Miller, E. "Fruit Flies and Moduli: Interactions between Biology and Mathematics." *Notices of the American Mathematical Society* 62.10 (November 1, 2015): 1178-1184.
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Miller, E, Owen, M, and Provan, JS. "Polyhedral computational geometry for averaging metric phylogenetic trees." *Advances in Applied Mathematics* 68 (July 2015): 51-91.
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Huckemann, S, Mattingly, J, Miller, E, and Nolen, J. "Sticky central limit theorems at isolated hyperbolic planar singularities." *Electronic Journal of Probability* 20.0 (2015).
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Berkesch Zamaere, C, Griffeth, S, and Miller, E. "Systems of parameters and holonomicity of A -hypergeometric systems." *Pacific Journal of Mathematics* 276.2 (2015): 281-286.
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Skwerer, S, Bullitt, E, Huckemann, S, Miller, E, Oguz, I, Owen, M, Patrangenaru, V, Provan, S, and Marron, JS. "Tree-oriented analysis of brain artery structure." *Journal of Mathematical Imaging and Vision* 50.1 (January 1, 2014): 126-143.
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Gopalkrishnan, M, Miller, E, and Shiu, A. "A Geometric Approach to the Global Attractor Conjecture." *SIAM Journal on Applied Dynamical Systems* 13.2 (January 2014): 758-797.
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Guo, A, and Miller, E. "Algorithms for Lattice Games." *International Journal of Game Theory* 42.4 (2013): 777-788.
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Miller, E. "Topological Cohen-Macaulay criteria for monomial ideals." 2009.

Miller, E, and Sturmfels, B. "Monomial ideals and planar graphs." *Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)* 1719 (January 1, 1999): 19-28.
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Possibilities for using geometry and topology to analyze statistical problems in biology raise a host of novel questions in geometry, probability, algebra, and combinatorics that demonstrate the power of biology to influence the future of pure... read more »