Mark Huber, Ph.D.

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

Areas of Expertise

Probability, Statistics, Computers, Applied Mathematics, Calculus

Selected Research and Publications

  • M. Huber. Spatial point processes. In S. Brooks, A. Gelman, G. Jones, and X. Meng, editors, Handbook of MCMC, pages 227252. 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. 681689.
  • M. L. Huber, Fast perfect sampling from linear extensions, Discrete Mathematics, vol. 306 (2006), pp. 420428.
  • 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. 4953.
  • M. Huber, Perfect sampling using bounding chains, The Annals of Applied Probability, vol. 14 no. 2 (August, 2004), pp. 734753.

Selected Awards and Affiliations

  • NSF CAREER award
  • NSF Postdoctoral Fellow in Mathematical Sciences NSF CAREER award

Mark Huber, Ph.D.

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

Education: B.S., Harvey Mudd College; Ph.D., Cornell University.
Department: Mathematics & Computer Science
Office Hours:
  Monday, 01:00PM - 02:00PM
  Tuesday, 01:30PM - 05:00PM
  Friday, 11:00AM - 12:00AM
Phone: (909) 607-0938
Address: Adams Hall 217
Website: Web Site
Curriculum Vitae: CV

Media Contact

For more information, please contact the Claremont McKenna College Public Affairs Office at (909) 621-8099