Samiran Sinha

Samiran Sinha is a Professor in the Department of Statistics at Texas A&M University, part of the College of Arts & Sciences. His research focuses on statistical methodologies for epidemiological studies, measurement error correction, Bayesian computation, and missing data techniques. He has held academic positions since 2004, including roles as Associate Head for Operations and Associate Graduate Adviser.

• Education: PhD in Statistics (University of Florida, 2004), MSc (Calcutta University, 1999), BSc (Kalyani University, 1997).
• Research Interests: Bayesian methods, epidemiological modeling, statistical computation, and applications in health sciences.

His work bridges statistical theory and practical applications, including collaborations in astrophysics and genomics. Notable grants include NIH-funded projects on breast cancer data analysis and epigenetic biomarkers. He has advised over 30 graduate and undergraduate students, fostering interdisciplinary research in biostatistics and data science.