TMCF workshop series: Prediction algorithms with a causal interpretation (online event)
Wednesday 06 May 2020
Time: 11:00 - 16:30
Bio
Prajamitra Bhuyan is a Lecturer in Mathematical Data Science at the Queen Mary University of London. He is engaged with data-centric engineering programme at the Alan Turing Institute. Before joining Queen Mary University London, he held a postdoctoral position at Imperial College London and a National Postdoctoral Fellowship in India. He obtained PhD degree in Statistics from Indian Statistical Institute. He has several years of industry experience as a Data Scientist in the Analytics sector providing training and business solutions to global clients across industry verticals.
Research interests
His 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, his doctoral work deals with computational and inferential issues in time-dependent stress-strength interference. In postdoctoral research, he worked on modeling and analysis of incomplete longitudinal data with missingness and zero-inflation. Currently, he is working on causal inference and its application in transport networks. He is also engaged in cross-disciplinary work, focusing on data-analytic settings in sports and environmental sciences.
Achievements and awards
- M. N. Murthy Memorial Prize: 2017-2018, awarded by the Indian Statistical Institute for outstanding thesis in Applied Statistics
- National Postdoctoral Fellowship: 2017, awarded by the Science and Engineering Research Board, Government of India
