• Doctor of Philosophy, Wesleyan Univ, USA, 2013
  • Bachelor of Science, State University of New York at New Paltz, USA, 2007


Anna earned her PhD in mathematics from Wesleyan University in 2013. In the same year, she was awarded the AAAS-AMS Mass Media Fellowship and spent 10 weeks working on the science desk at National Public Radio. This experience shaped her understanding of how and why we talk about numbers. Her formal training is in computational number theory. As a number theorist she held the position of visiting scientist at the Max Planck Institute for Mathematics for two semesters and earned tenure and promotion to associate professor of mathematics at Duquense University in 2020. She briefly left academia to work as an industry data scientist and joined Tufts University as a senior data scientist in 2021. Since then Anna's research has moved to the intersection of mathematics and the social sciences and it deals with the many ways that we can use data and to make a safer, more sustainable, and more equitable world. Anna is a co-director of the Small Town Police Accountability (SToPA) Research Lab and holds a secondary appointment in the department of mathematics. She has been awarded numerous grants for her work, most recently from the NSF for a project that combines elements of human behavior, public policy, and mechanical engineering to improve offshore wind infrastructure.
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Selected Publications

Haensch, A. (2022). Data Feminism. AMERICAN MATHEMATICAL MONTHLY, 129(5), 496-500. doi:10.1080/00029890.2022.2044214

Dutour Sikirić, M., Haensch, A., Voight, J., & van Woerden, W. P. J. (n.d.). A canonical form for positive definite matrices. Open Book Series, 4(1), 179-195. doi:10.2140/obs.2020.4.179

Haensch, A., & Knudson, K. (2022). Python for Global Applications: teaching scientific Python in context to law and diplomacy students. In Proceedings of the Python in Science Conference. SciPy. doi:10.25080/majora-212e5952-00b

Haensch, A. (2022). Reflections on hyperbolic space. Snapshots of modern mathematics from Oberwolfach, 2021(07), 1-10. doi:10.14760/SNAP-2021-007-EN