Dr. Mohammad Hattab holds a M.Sc. in Mathematics from the University of Jordan and obtained his Ph.D. in Statistics at the University of New Mexico. As a Biostatistician at the Wyss, Mohammad develops statistical analysis plans and provides statistical support. He has extensive experience in statistical modeling techniques and revealing patterns in complex data. Mohammad completed two postdoctoral training positions. His second postdoctoral position focused on the statistical analysis of Next Generation Sequencing (NGS) data generated through MBD-Seq method where he often dealt with big data of size (100GB-500GB). For millions of predictors, he developed a fast predictive algorithm to predict phenotypes of interest such as depression and schizophrenia. His first postdoctoral position concentrated on analyzing high-dimensional climate models and studying uncertainties in global warming experiments using Frequnetist and Bayesian approaches. His Ph.D. work involved elaborating new statistical tests to assess the adequacy of linear models using Monte-Carlo simulations and/or asymptotic theory. During this time, he was also a statistical consultant, providing his expertise to professors from different academic backgrounds and students alike.