Research/Areas of Interest:

Computational number theory


  • Ph.D., Mathematics, Wesleyan University
  • B.S., State University of New York


Dr. Anna Haensch is a Senior Data Scientist in the Tufts University Data Intensive Studies Center with a secondary appointment in the Department of Mathematics. She got her Ph.D. in mathematics from Wesleyan University in 2013, after which she was a Visiting Scientist at the Max Planck Institute for Mathematics in Bonn, Germany. Until 2021, she was on the faculty of the Duquesne University Department of Mathematics & Computer Science, where she was granted tenure and promotion to Associate Professor in 2020.

The roots of her research are in computational number theory, specifically in using modern computational tools and capabilities to answer longstanding, previously intractable, open problems.

On a leave from academia, Anna spent 15 months working as a Research Data Scientist at an industrial Internet-of-Things start-up in the Boston area. In this position, her interest in algorithmic development led her to explore tools in data science and machine learning. Specifically, the ways we can use these tools to make a safer and more equitable world, from understanding and mitigating the impacts of climate change to resource allocation on a local and global scale.

In 2013 Anna was awarded the AAAS-AMS Mass Media Fellowship during which she spent 10 weeks working on the Science Desk at National Public Radio. In addition to the technical applications of data science, she's interested in the ways that data and numerical literacy more generally shape the way we produce and consume media.

Selected Publications and Presentations

(with N. Dragovic, C. B¨orgers, B. Boghosian) Covid-19 vaccine hesitancy and mega-influencers, submitted for publication January, 2022.

(with I. Ljungberg, U. Khan, B. Moaveni) Monitoring of Offshore Wind Turbines Using Measured Accelerations and Hidden Markov Models with Physics-Based Initialization, IMAC-XL Conference Prodeedings (extended abstract), Society for Experimental Mechanics, 2022.

(with M. Dutour Sikiri´c, J. Voight and W. van Woerden) A canonical form for positive definite matrices, Proceedings of the Fourteenth Algorithmic Number Theory Symposium, ANTS-XIV, Mathematical Sciences Publishers, 2020 (final version at arXiv:2004.14022).

(with A. G. Earnest) Classification of one-class spinor genera for quaternary quadratic forms, Act Arith. 91 3 (2019) 259 – 287, (final version at arXiv:1803.03028).

(with B. Kane) An algebraic and analytic approach to spinor exceptional behavior in translated lattices, Automorphic Forms and Related Topics, Contemp. Math., 732, 2019, Amer. Math. Soc., Providence, RI, (final version pdf available here).

(with A. G. Earnest) Completeness of the list of spinor regular ternary quadratic forms, Mathematika, 65 (2019), 213–235, (final version at arXiv:1711.05811).

(with B. Kane) Almost universal ternary sums of polygonal numbers, Res. number theory (2018) 4: 4.

(with A. Feaver, J. Liu, G. Nebe) On Kneser-Hecke operators for codes over finite chain rings, Directions in Number Theory: Proceedings of the 2014 WIN3 Workshop, Association for Women in Mathematics Series, Springer-Verlag, (2016).

A characterization of almost universal ternary inhomogeneous quadratic polynomials with conductor 2, J. Number Theory, 156 (2015), 247–262.

A characterization of almost universal ternary quadratic polynomials with odd prime power conductor, J. Number Theory, 141 (2014), 202–213.

(with W. K. Chan) Almost universal ternary sums of squares and triangular numbers, Quadratic and Higher Degree Forms, Developments in Mathematics, Springer-Verlag, (2013).

(with K. Doerksen) Primitive prime divisors in zero orbits of polynomials, INTEGERS: The Online Journal of Combinatorial Number Theory, 12 (2012).