Sam Behseta

Sam Behseta is a Professor of Statistics at California State University, Fullerton (CSUF), and a Fellow of the American Statistical Association. He serves as Director of the Center for Computational and Applied Mathematics (CCAM). He holds a PhD from Carnegie Mellon University, an MS from San Diego State University, and a BS from Tehran National University. His research focuses on Bayesian Statistics, Neuroscience, Biostatistics, Probabilistic Watermarking, and Education Data Modeling, with a strong emphasis on interdisciplinary applications.

Recent scholarly work includes advancements in Bayesian modeling for neuroscience, innovations in GNSS technology, and educational initiatives to enhance data science training. His publications reflect collaborations across fields like telecommunications, immunology, and public health. Behseta has contributed to editorial roles for the CHANCE journal and the development of integrated research programs between CSUF and UC Irvine.

• Education:
• PhD, Carnegie Mellon University
• MS, San Diego State University
• BS, Tehran National University

Research interests span statistical methodology, neuronal data analysis, and the integration of statistical education with modern computational tools. His work often addresses practical challenges in signal processing, satellite systems, and disease modeling, such as pulmonary coccidioidomycosis.

• Awards:
• Fellow of the American Statistical Association

Behseta has directed grants supporting interdisciplinary initiatives, including the Big Data Science Training Program at a Minority Serving Institution. He actively promotes collaborations through CCAM and has advised on curriculum development for dual-language education programs in science and mathematics.

He is affiliated with CSUF’s Department of Mathematics and leads the CCAM, fostering research in applied mathematics and computational methods. His professional network includes prominent statisticians like Hal Stern and Robert Kass, reflecting his role as an interviewer and collaborator in the field.