Pejman is a computational biologist with a background primarily in statistical machine learning and Bayesian data modeling. His current research interests span practical and theoretical issues that arise in genomics and personalized medicine, focusing on quantitative analysis of regulatory variation in the genome and its application to both complex diseases and rare diseases. 

Pejman joined UW as an Associate Professor in 2023. Before that, he was at Scripps Research in San Diego as a tenure track assistant professor in 2018 and later as an associate professor in 2021. He holds a Ph.D. in Computational Biology from ETH Zurich and carried out postdoctoral work at the NY Genome Center and Columbia University from 2015 to 2017.