Skip to main content
School of Mathematical Sciences

Dr Prajamitra Bhuyan


Lecturer in Mathematical Data Science

Room Number: Mathematical Sciences Building, Room: MB-B24
Office Hours: Please email for an appointment


I am a Lecturer in Mathematical Data Science at the Queen Mary University of London. I am also engaged with the data-centric engineering programme at The Alan Turing Institute. Before joining Queen Mary University London, I held a postdoctoral position at the Imperial College London and National Postdoctoral Fellowship in India. I obtained PhD degree in Statistics from the Indian Statistical Institute. I have several years of industry experience as a Data Scientist in the Analytics sector providing training and analytical solutions to global clients across industry verticals. I am passionate about solving real-world business problems and issues related to the humanitarian crisis.


I am currently teaching Time Series (MTH6139) and previously tought Probability & Statistics II (MTH5129).


Research Interests:

My primary research interests lie broadly in statistical data science and methodology, motivated by real-life challenges arising from complex systems, social science and public policy. In particular, my doctoral work deals with computational and inferential issues in time-dependent stress-strength interference. In postdoctoral research, I worked on modeling and analysis of incomplete longitudinal data with missingness and zero-inflation. Currently, I am working on causal inference and its application in transport networks. I am also engaged in cross-disciplinary work, focusing on data-analytic settings in sports and environmental sciences.


    • Bhuyan P, McCoy EJ, Li H et al. (2021), Analysing the causal effect of London cycle superhighways on traffic congestion The Annals of Applied Statistics $nameOfConference
    • Jha J, Bhuyan P (2021), Two-stage circular-circular regression with zero inflation: Application to medical sciences Annals of Applied Statistics $nameOfConference
    • Nanda P, Bhuyan P, Dewanji A (2021), Optimal replacement policy under cumulative damage model and strength degradation with applications Annals of Operations Research $nameOfConference
    • Chatterjee K, Bhuyan P (2020), On the estimation of population size from a post-stratified two-sample capture–recapture data under dependence Journal of Statistical Computation and Simulation $nameOfConference
    • Chattopadhyay N, Bhuyan P (2020), Player selection strategy: a quantitative perspective Proceedings of the 62nd ISI World Statistics Congresses: Contributed Paper Session, Vol-3 62nd ISI World Statistics Congresses
    • Jha P, Banerjee S, Bhuyan P et al. (2020), Elemental distribution in urban sediments of small waterbodies and its implications: a case study from Kolkata, India Environmental Geochemistry and Health $nameOfConference
    • Bhuyan P, Ghosh S, Majumder P et al. (2020), A bivariate life distribution and notions of negative dependence Stat $nameOfConference
    • Bhuyan P (2019), Estimation of random-effects model for longitudinal data with nonignorable missingness using Gibbs sampling Computational Statistics $nameOfConference
    • Chatterjee K, Bhuyan P (2019), On the estimation of population size from a dependent triple-record system Journal of the Royal Statistical Society. Series A: Statistics in Society $nameOfConference
    • Bhuyan P, Biswas J, Ghosh P et al. (2019), A Bayesian two-stage regression approach of analysing longitudinal outcomes with endogeneity and incompleteness Statistical Modelling $nameOfConference
    • Bhuyan P, Mitra M, Dewanji A (2018), Identifiability issues in dynamic stress–strength modeling Annals of the Institute of Statistical Mathematics $nameOfConference
    • Bhuyan P, Sengupta D (2017), Estimation of reliability with semi-parametric modeling of degradation Computational Statistics and Data Analysis $nameOfConference
    • Bhuyan P, Dewanji A (2017), Estimation of reliability with cumulative stress and strength degradation Statistics $nameOfConference
    • Bhuyan P, Dewanji A (2017), Reliability computation under dynamic stress–strength modeling with cumulative stress and strength degradation Communications in Statistics: Simulation and Computation $nameOfConference
Back to top