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Contact

Physical Address:
Brink Hall 300

Mailing Address:
875 Perimeter Drive, MS 1103
Moscow, ID 83844-1103

Phone: 208-885-6742

Fax: 208-885-5843

Email: mathstat@uidaho.edu

Web: Department of Mathematics and Statistical Science

Erkan Buzbas

Erkan Buzbas

Associate Professor

Office

Brink Hall 415

Mailing Address

Department of Mathematics and Statistical Science
University of Idaho
875 Perimeter Drive, MS 1103
Moscow, ID 83844-1103

  • B.S. Chemistry, Bogazici University, 2000
  • M.S. Environmental Sciences, Bogazici University, 2003
  • M.S. Statistics, University of Idaho, 2007
  • Ph.D. Bioinformatics and Computational Biology, University of Idaho, 2009

  • Metascience 
  • Reproducibility in science
  • Computational Statistical Methods
  • Bayesian Statistics
     

After completing my PhD with Prof. Paul Joyce at the University of Idaho, I worked at the University of Michigan and at Stanford University as a postdoctoral fellow under the supervision of Prof. Noah Rosenberg. My work on theoretical population genetics and metascience are interdisciplinary and I collaborate with faculty from natural, social, mathematical sciences, and humanities.

I am a statistician and mathematical modeler. My background is in stochastic modeling of population-level phenomena, and development of computational statistical methods
to perform inference under uncertainty. I have a broad interest in stochastic modeling of complex systems and statistical theory. 

My current work is focused on: Mathematical and statistical aspects of metascience. I use statistical theory, mathematical modeling, and simulations to investigate:

  • How scientific processes of accumulating knowledge work
  • How sciences progress
  • What is the role of reproducibility of scientific findings in advancing knowledge.

Contact

Physical Address:
Brink Hall 300

Mailing Address:
875 Perimeter Drive, MS 1103
Moscow, ID 83844-1103

Phone: 208-885-6742

Fax: 208-885-5843

Email: mathstat@uidaho.edu

Web: Department of Mathematics and Statistical Science