ÃÛÌÒÓ°Ïñ

SDSU AI Highlights

Semhar Michael, Ph.D.

Semhar Michael is an associate professor of statistics at the Jerome J. Lohr College of Engineering at ÃÛÌÒÓ°Ïñ. Her expertise lies in computational statistics with an emphasis on mixture modeling, clustering of time-series and unstructured data, and forensic and health-data analytics. Michael earned her B.S. in applied mathematics from the University of Asmara, her M.S. in mathematics from the University of North Dakota and her Ph.D. in applied statistics from the University of Alabama. Her research spans a broad range of applications from identifying geographic and racial disparities in breast cancer mortality to developing statistical methods for forensic source-identification and time-series clustering. At SDSU, she teaches graduate-level courses in statistical inference, multivariate analysis and simulation and serves as associate editor for the Journal of Classification. Michael's work exemplifies the bridge between rigorous methodology and real-world impact, delivering data-driven insights across health, agriculture and justice system contexts.