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Dr Dalia Chakrabarty

Dr Dalia Chakrabarty
Senior Lecturer in Statistics


My D.Phil (from St. Cross College, Oxford) was in Theoretical Astrophysics, and I was examined by Prof. James Binney. My doctoral thesis was dedicated to the development of a novel Bayesian learning method to learn the gravitational mass of the black hole in the centre of the Milky Way, (along with the Galactic phase space density), and to the computational modelling of non-linear dynamical phenomena in galaxies. Thereafter, I continued to develop probabilistic learning methods, and undertake Bayesian inference, within astronomical contexts, till 2009, when I moved to Warwick Statistics, and started developing Bayesian methodologies, to apply to diverse areas. After Warwick, I was a Lecturer in Statistics, in Leicester Maths, and then in Loughborough Maths. I moved to Brunel, Department of Mathematics, at the beginning of 2020. My current interest is strongly focused on the development of Bayesian learning methodologies, given different challenging data situations, such as data that is shaped as a hyper-cuboid; with components that are diversely correlated; absent training data; data that is discontinuously distributed and/or changing with time. I am equally keen on learning graphical models and networks of multivariate datasets, as random geometric graphs, with the ulterior aim of computing distance between a pair of learnt graphs. I am also interested in the development of Bayesian tests of hypotheses that are useful when the alternative model is difficult/impossible to perform computation within, and recently, have initiated a method of optimising the mis-specified parameters of a parametric model, while learning the desired model parameters. My current applications include areas such as healthcare, vino-chemistry, astronomy, test theory, material science, etc. 


D.Phil  --  University of Oxford (St. Cross College)

M.S. (as part of Itegrated Ph.D programme) -- Indian Institute of Science(Bangalore, India)

B.Sc(Hons) -- St. Xavier's College (under Kolkata University), Kolkata, India



                                                                                                                                                                                                - publication of developed methods and undertaken applications; 

- attending conferences:  recent most talks were the keyote address at ICSTA, 2019; colloquium at SAMSI (November 2018);

- applying for grants: recent success with application for UK Intelligence Community Fellowship for applicant; Royal Society Dorothy Hodgkin Fellowship holder;

- Ph.D student supervision--currently working with Ph.D student, Georgios Stagakis who started in 2018; my Ph.D student Kangrui Wang finished in 2018 (currently PDRA in the Alan Turing Institute, London), and my other student Cedric Spire finished in 2019 (currently UK IC Fellowhsip that he has bought to Brunel, to work with me as his university-based supervisor.

In addition, I have supervised multiple Masters dissertations in the past; regularly work with final year project students, and while at Loughborough, offered Small Group Tutorials in 1st year UG modules in Analysis, Linear Algebra and Mathematical Methods to my 1st Year personal tutees.


Currently teaching MA3670 (Statistical Modelling) to 3rd year UG students at Brunel Maths.

In Loughborough Maths, I taught:                                                                                                                                        --MAB270: Statsitical Modelling.--MAB280: Introduction to Stochastic Analysis (second half of module); --Fourier Series & Fourier Transforms to 2nd year UGs in Materials Science students.

Earlier in Leicester Maths, I taught Applied Statistics at the UG and PG levels, and contributed to the support teaching of various modules.


In Loughborough,                                                                                                                                                                                    --I was the Induction Coordinator in Mathematics.                                                                                                             --tutor to a small group of personal tutees; placement students

Earlier in Leicester Maths,                                                                                                                                                                   --I had been the first Director of the MSc in Data Analysis for Business Intelligence, and                                             --was the overall head of the MScs courses in the Department.

Newest selected publications

Spire, C. and Chakrabarty, D. (2019) 'Learning in the absence of training data—A galactic application'.International Conference on Bayesian Statistics in Action. Warwick, United Kingdom. 22 - 3 July. Springer International Publishing. pp. 43 - 51. ISSN: 2194-1009 Open Access Link

Conference paper

Wang, K. and Chakrabarty, D. (2018) 'Correlation between Multivariate Datasets, from Inter-Graph Distancecomputed using Graphical Models Learnt With Uncertainties'. Mathematics. ISSN: 0025-570X Open Access Link

Journal article

Wang, K. and Chakrabarty, D. (2018) 'Deep Bayesian Supervised Learning given Hypercuboidally-shaped,Discontinuous Data, using Compound Tensor-Variate & Scalar-Variate GaussianProcesses'. Mathematics. ISSN: 2227-7390 Open Access Link

Journal article

Chakrabarty, D. (2016) 'A New Bayesian Test to Test for the Intractability-Countering Hypothesis'. Journal of the American Statistical Association, 112 (518). pp. 561 - 577. ISSN: 0162-1459 Open Access Link

Journal article

Chakrabarty, D., Rigat, F., Gabrielyan, N., Beanland, R. and Paul, S. (2015) 'Bayesian Estimation of Density via Multiple Sequential Inversions of Two-Dimensional Images With Application to Electron Microscopy'. Technometrics, 57 (2). pp. 217 - 233. ISSN: 1537-2723 Open Access Link

Journal article
More publications(9)