Regular biography
Madhuchhanda Bhattacharjee is a Reader in Statistics and Data Science at The University of Manchester, Department of Mathematics. His research interests include inference on random matrices arising from big-data, regression modelling of large data under parallel processing, and Bayesian integrated modelling of 'omics'-data. He is also engaged in modelling and analysis of large and/or heterogeneous data, as well as inference for stochastic processes. Bhattacharjee is a member of several professional bodies, including the International Indian Statistical Association, Institute of Mathematical Statistics, and Royal Statistical Society. His work contributes to Sustainable Development Goals 3 and 13.
Scholar-generated biography
Madhuchhanda Bhattacharjee is a researcher in the Department of Mathematics at the University of Manchester, UK, specializing in the modelling and analysis of large and/or heterogeneous data. Their work focuses on Bayesian integrated modelling of “omics” data, with applications in biomedical and computational sciences. Bhattacharjee's research includes the development of statistical methods for drug sensitivity prediction, flow cytometry data analysis, and multi-omics integration for predicting gestational age and preterm birth. They also explore Bayesian approaches for gene expression analysis, biomarker identification, and association mapping of complex traits. Their publications highlight the use of Bayesian methods in proteomics, microarray data, and time-truncated Poisson processes, emphasizing the integration of diverse biological data sources.