Nathan Kellerman

Mathematics @ Bowdoin College

I'm a senior Mathematics major at Bowdoin College, interested in using applied mathematics and statistics to model social processes through time.

My current work involves using finite mixture models to infer latent political cultures across time and space in US states. I'm currently advised in this undergraduate thesis work by Prof. Jack O'Brien.

Email: npppykwicellppywermans zizi q
LinkedIn GitHub

Research Interests

  • Understanding societal and individual behavior mathematically.
  • Spatially modeling social processes and networks.
  • Statistical machine learning, applied Bayesian statistics, high-dimensional social science data.

Forthcoming Publications

  • Nathan Kellerman, Jack O'Brien. (2026). Mixture modeling political cultures from referendum count data. Undergraduate Honors thesis.
  • Chidinma Ezugwu, Nathan Kellerman, Thomas Weighill, Benjamin Yam. (2025+). Size-aware topological analysis with accumulation barcodes.

Talks

  • A rapid algorithm for inferring latent mixture structure in replicate social science data. May 2026. Bowdoin College Mathematics Department Honors Thesis Defense.
  • Finite mixture modeling replicate-rich data: quickly approximating Bayesian posteriors for interpretation in the social sciences. April 2026. ASA Symposium on Data Science & Statistics. (accepted to give refereed talk)
  • [PDF] Mixture modeling political cultures (and more?). December 2025. Bowdoin College Mathematics Department Honors Research Mid-Year Talk.
  • Understanding the shape of data with accumulation barcodes. November 2025. UNC Greensboro Regional Mathematics and Statistics Conference.

Other Interests

  • Printmaking, science fiction, swimming, poker.