
Statistical Consultant


Education:
Ph.D., Statistics,
University of California, Los Angeles
2009-2017
MA, Applied Mathematics,
California State University, Fullerton
2007-2009
MS, Industrial Engineering
Tehran University
1996-1998
Bio:
Siavash is a statistical consultant at UCLA Institute for Digital Research and Education. His research interests lie in the development of statistical methods in multivariate data analysis. His specific areas of interest include bootstrap method, Monte Carlo test, structural equation modeling, and analysis of incomplete data.