Mark Huber

Mark Huber, Ph.D.

Fletcher Jones Associate Professor of Mathematics and Statistics and George R. Roberts Fellow

I work in the area of computational probability, designing Monte Carlo methods for applications in statistics and computer science.

B.S., Harvey Mudd College; Ph.D., Cornell University.
Mathematics & Computer Science


Faculty Website
Office Hours
Monday, 1-2 p.m., Tuesday, 1:30-5 p.m., Friday, 11-12 p.m.

(909) 607-0938

Adams Hall 217

Curriculum Vitae

PDF icon huber_cv_2016_16Jan.pdf

Areas of Expertise

Applied Mathematics, Calculus, Computers, Probability, Statistics

Selected Research and Publications

  • M. Huber. Spatial point processes. In S. Brooks, A. Gelman, G. Jones, and X. Meng, editors, Handbook of MCMC, pages 227–252. Chapman & Hall/CRC Press, 2011.

  • M. Huber and J. Law, Fast approximation of the permanent for very dense problems, Proc. of Symposium on Discrete Algorithms (2008), pp. 681–689.

  • M. L. Huber, Fast perfect sampling from linear extensions, Discrete Mathematics, vol. 306 (2006), pp. 420–428.

  • M. Huber, Y. Chen, I. Dinwoodie, A. Dobra, and M. Nicholas, Monte Carlo algorithms for Hardy-Weinberg proportions, Biometrics, vol. 62 no. 1 (March, 2006), pp. 49–53.

  • M. Huber, Perfect sampling using bounding chains, The Annals of Applied Probability, vol. 14 no. 2 (August, 2004), pp. 734–753.

Selected Awards and Affiliations

  • NSF CAREER award

  • NSF Postdoctoral Fellow in Mathematical Sciences NSF CAREER award