Nathan Albin

Professor of Mathematics at Kansas State University.

Research interests

I am an applied mathematician specializing in network and graph theory, numerical analysis, machine learning and artificial intelligence, and optimization. I also build open-source software, from reference implementations of my algorithms to formal proofs and machine-learning experiments.

Short bio

  • 2001 - BA in mathematics from UH Hilo
  • 2006 - PhD in mathematics from the University of Utah
  • 2006-2011 - NSF postdoctoral research fellowship
    • 2006-2007 - University of Duisburg-Essen
    • 2007-2011 - Caltech
  • 2011-2015 - Assistant Professor at K-State
  • 2016-2021 - Associate Professor at K-State
  • 2022-now - Full Professor at K-State