Satish Iyengar is a Professor and Associate Chair in the Department of Statistics at the University of Pittsburgh, affiliated with the Dietrich School of Arts and Sciences. He also holds an affiliation with the Department of Psychiatry and serves on the FDA’s Psychopharmacologic Drugs Advisory Committee. He earned his PhD in Statistics from Stanford University (1982) and a BA in Mathematics from Harvard University (1978). His research focuses on diffusion processes, point processes, multivariate mixture models, and applications in psychiatry and neuroscience, including meta-analysis. Education: PhD in Statistics, Stanford University, 1982 BA in Mathematics, Harvard University, 1978 Research Interests: His work bridges computational neuroscience, statistical methodology, and clinical psychiatry. Key areas include modeling neural activity, analyzing psychiatric clinical trials (e.g., antidepressant efficacy and suicide risk), and developing statistical frameworks for complex biological data. He has contributed to methodological advancements in meta-analysis and diffusion models. Awards: He received the P.R. Krishnaiah Memorial Lectureship (2017) and the University of Pittsburgh Provost’s Graduate Mentoring Award (2018). Advising & Grants: Advisor to 28 PhD students and multiple postdoctoral researchers. His advisees hold prominent roles in academia, industry, and healthcare. He has collaborated on grants involving statistical applications in neuroscience and clinical research. Affiliations: Besides his primary role at Pitt’s Statistics Department, he contributes to FDA drug advisory processes and interdisciplinary collaborations in psychiatry and neuroscience.











