Professor Sujit Kumar Ghosh earned a Ph.D. in Statistics from the University of Connecticut in 1996 and is currently a tenured faculty member at the rank of Full Professor in the Department of Statistics at North Carolina State University (NCSU) in Raleigh, NC, USA.
He has over 20 years of experience in conducting, applying, evaluating and documenting statistical analysis of biomedical and environmental data. Prof. Ghosh is actively involved in teaching, supervising and mentoring graduate students at the doctoral and master levels. He has supervised over 35 doctoral graduate students and 5 post-doctoral fellows and he has served as a member on numerous other doctoral and master level committees. He was awarded Cavell Brownie Mentoring Award at NCSU Statistics in 2014. Prof. Ghosh has taught over 16 different courses (ranging from undergraduate to advanced graduate level) at NCSU and has developed two new courses in the area of Bayesian inference. He has also served as a statistical investigator and consultant for over 45 different research projects funded by various leading private industries and federal agencies (e.g., BAYER, CDC, GSK, MERCK, NIH, NISS, NSF, SAS, U.S.EPA, USDA- NASS etc.).
Prof. Ghosh has published over 100 refereed journal articles in the various areas area of statistics with applications in biomedical and environmental sciences, econometrics and engineering. He has co-edited a popular book entitled “Generalized Linear Models: A Bayesian perspective.” Prof. Ghosh has been regularly invited by peer institutions and conference organizers to present talks. He has given over 160 invited lectures, seminars at national and international meetings. He has also delivered several short courses and served as the short term visiting professor at leading institutions in various countries (Greece, India, Italy, Singapore, Thailand, Turkey etc.). In recent years, Prof. Ghosh has contributed significantly in developing statistical models and associated methodologies for various inferential problems that are subject to shape constraint. In 2016, Prof. Ghosh was invited to present the prestigious Helen Barton Lecture Series in Mathematical Sciences at the University of North Carolina at Greensboro where he delivered a three lectures on Statistical Inference Subject to Shape Constraint.
Prof. Ghosh received the International Indian Statistical Association (IISA) Young Investigator Award in 2008; was elected a Fellow of the American Statistical Association (ASA) in 2009 and was elected as the President of the NC Chapter of ASA in 2013 and also the President of the IISA in 2017. He was the recipient of the Thammasat University Honorary Plaque in 2013 and also received the prestigious Honorary Doctorate in Statistics at Thammasat University (Thailand) in 2015 and most recently he was selected for the Hind-Rattan Award in 2016 by the NRI Welfare Society of India. He served as the Co- Director of Graduate Programs in Statistics at NCSU managing over 150 students annually during 2010- 2013, the Project Director of a training program for undergraduates funded by the NSF during 2007- 2013. He has also served as the Program Director in the Division of Mathematical Sciences (DMS) within the Directorate of Mathematical and Physical Sciences (MPS) at NSF in 2013-2014. During 2014-2017 he also served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute (SAMSI), RTP, NC, USA.