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Mr. Barnwal was a Senior Research Fellow in the Department of Statistics, Institute of Science, Banaras Hindu University, India. He has earned his Ph.D. degree from the same institution in 2024. He has expertise in statistical modelling, survival analysis, longitudinal data and incomplete data. His areas of interest are Bayesian inference, computational statistics, public health studies and Epidemiology. He has expertise in data analysis and visualization using R/R-Studio, SPSS and Python. He also excelled in MS Office tools and writing software LaTeX. In his doctoral research, he focused on the development of parametric models under the Bayesian paradigm for time-to-event data. These models are specifically designed to handle competing risks data and aimed to improve the precision and accuracy of data analysis. Also, he developed a flexible joint model for analysing longitudinal data and competing risks data simultaneously with cause-dependent masking under the Bayesian paradigm. By incorporating advanced statistical techniques, his research aimed to provide more reliable and insightful results, contributing to the advancement of knowledge in the area where these data are being generated.
Membership of Professional Bodies
Institute of Mathematical Statistics
Royal Statistical Society
International Society for Bayesian Analysis
Indian Bayesian Society
New England Statistical Society
Statistical Society of Australia
Awards & Fellowships
Senior Research Fellowship, University Grant Commission, India. 2021
Junior Research Fellowship, University Grant Commission, India. 2019
Graduate Aptitude Test in Engineering in Statistics, Indian Institute of Technology Madras. 2019
Inspire Scholar, Department of Science & Technology, Govt. of India. 2012-15
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