Iman Mohammadi works with large healthcare datasets to develop complex analytic files to support study protocols.
He conducts high-level analytic modeling to support healthcare and life sciences clients make optimal business decisions aimed at improving quality and lowering costs. With experience in predictive modeling and advanced statistical techniques and a deep understanding of healthcare processes, he provides insights, solutions, and decision-making tools for Avalere’s clients.
Prior to joining Avalere, Iman was a research assistant and instructor at Indiana University. He focused on improving healthcare systems and patient centered outcomes research. Specifically, he used electronic health record data from various healthcare systems to develop predictive and simulation models for improving access to care for underserved populations. He taught undergrad and grad level courses, such as Informatics Project Management and Health Information Standards and Terminologies, at Indiana University.
Iman has a PhD in health informatics from Indiana University and an MS in biomedical engineering from Purdue University.