Topic: Approximations in Bayesian modeling of survival dataDuring my research, I specialized in Bayesian modeling techniques for the analysis of survival data, with a focus on approximation methods for complex models. Leveraging tools such as R and STAN, I conducted in-depth research into the application of Bayesian methods in medical data.Published/Accepted Papers:Bayesian Analysis of Type II Generalized Topp–Leone Accelerated Failure Time Models Using R and StanAdvancing Bayesian Inference: Fitting Type I Half-logistic Nadarajah-Haghighi Distribution and its Comparison with Related Distributions for Censored Survival DataBayesian Inference for Glioma Data Using Generalized Burr X-G (GBX-G) Family with R and StanAdditionally, I have participated in several conferences and workshops and I am actively involved in ongoing research projects aimed at furthering our understanding of Bayesian survival analysis and its applications in healthcare.

Owner of YouTube Channel: Statistics Curiosity

Provided fully structured solutions for problems of Statistics and probability

Worked as a Guest Teacher (Part-time) and taught B.Sc. Statistics students for three years in the Department of Statistics at S.V. Degree College.