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Bio

Prof. Sujit Kumar Ghosh is an internationally recognized statistician whose work has made significant contributions to the theory, methodology, and applications of statistics, biostatistics, and data science. With over 30 years of experience, he has advanced key areas such as Bayesian inference, econometrics, spatial statistics, survival analysis, and shape-constrained inference, producing over 155 refereed publications that are widely cited (Google Scholar). His influential textbook Bayesian Statistical Methods has further established his role in shaping Bayesian statistical practice.

Ghosh’s research innovations have been translated into impactful applications in biomedical sciences, environmental monitoring, and econometrics, supported by over 45 major funded projects with organizations such as NIH, NSF, CDC, and multiple private industritries. He has delivered over 200 invited lectures worldwide, including the prestigious Helen Barton Lecture Series, and continues to advance emerging areas of data science through both theory and application. A dedicated mentor, he has supervised 50 doctoral students and 5 postdoctoral fellows, while also serving as a visiting professor and short-course instructor across Asia and Europe. His leadership includes roles as Program Director at NSF, Deputy Director at SAMSI, and President of IISA, in addition to advisory roles with CANSSI and NISS. Prof. Ghosh’s achievements have been recognized with numerous honors, including Fellow of the ASA, the IISA Young Investigator Award, an Honorary Doctorate from Thammasat University, and most recently, the prestigious VAIBHAV Fellowship (DST, India), fostering global collaboration between the Indian diaspora and leading Indian institutions. Through his pioneering methodologies, theoretical advances, and novel applications, Prof. Ghosh has made a lasting global impact on the field of statistical and data sciences

Area(s) of Expertise

• Bayesian Inference
• Spatial Statistics
• Survival Analysis