Summary
Eaman Jahani is an Assistant Professor at the University of Maryland who bridges rigorous statistics and computational social science to study social and economic networks, human-AI collaboration, and causal inference. With an MIT PhD and over a decade of experience that includes research at UC Berkeley and software engineering at Google in New York, he combines academic depth with production-scale engineering insight. His work probes political economy and inequality through networked data, bringing practical machine learning and statistical tools to social science questions. Notably, his background spans both top-tier industry and elite academic environments, enabling him to translate complex methods into impactful, real-world analyses.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, SOCIAL SCIENCES, Doctor of Philosophy - PhD, SOCIAL SCIENCES at Massachusetts Institute of Technology
Master's degree, Computer Science, Master's degree, Computer Science at University of Michigan
Computer Science, Computer Science at New York University
Persian, French, Italian