Summary
Behrang Mahjani is an Assistant Professor and quantitative researcher with a decade of experience applying statistical and computational methods to biological psychiatry and genomic research. With a PhD in Statistical & Scientific Computing from Uppsala and dual M.Sc. training in engineering mathematics and computational biology, he bridges rigorous methodology and domain-driven questions across psychiatry, AI for health, and epidemiology. Based at Mount Sinai and affiliated with Karolinska Institutet, he leads interdisciplinary projects spanning genetics, autism research, and AI-driven population analyses. Colleagues rely on him to turn large-scale, noisy biomedical data into reproducible inferences and scalable analytic pipelines—skills honed through postdoctoral training and research specialist roles. Notably, his background in complex adaptive systems gives him a systems-level perspective that informs novel approaches to psychiatric genomics.
10 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at K. N. Toosi University of Technology
Master of Science (M.Sc.), Engineering Mathematics (Specialization in Mathematical Statistics), Master of Science (M.Sc.), Engineering Mathematics (Specialization in Mathematical Statistics) at Chalmers University of Technology
PhD, Scientific Computing (Specialization in Statistical Computing), PhD, Scientific Computing (Specialization in Statistical Computing) at Uppsala University
Persian, English, Swedish