Dr Ritabrata Dutta

Associate Professor of Statistics

Research Interests: My main research interest lies in the development of statistical methodologies for models with intractable likelihood functions or for misspecified models. These methodologies bring ideas from mathematical statistics (e.g. good old exponential families), machine learning (e.g. deep generative models) and physics (e.g. scoring rules probabilistic predictions) together through neural exponential models, generalised likelihood-free Bayesian inference etc. Developed methodologies can be applied in diverse fields e.g., meteorology and climate science, population genetics, epidemiology, computational biology and engineering sciences.

More details about my research can be found here.

Doctoral Alumni

D r. Lorenzo Pacchiardi, "Statistical inference in generative models using scoring rules", (2022, University of Oxford, UK)

Dr. Yuehao Xu, "Statistical Inference of Selection Coefficient From Temporal Allele Frequencies", (2024, Johannes Kepler Universitat Linz, Austria)

Dr. Rilwan Adewoyin, "Multi-Scale Modeling and Uncertainty Quantification of Weather and Language", (2024, University of Warwick, UK)

Present PhD students

David Huk, University of Warwick, UK

Shreya Sinha Roy, University of Warwick, UK

Francesca Basini, University of Warwick, UK

Yuexuan Wang, University of Linz, Austria

Curriculum Vitae

(2022-present): Associate professor, Department of statistics, University of Warwick
(2018-2022): Assistant professor, Department of statistics, University of Warwick

(2016-2018) Swiss National Science Foundation Fellow, Institute of Computational Science, Università della Svizzera italiana, Lugano, Switzerland
(2012-2016) Research Fellow,Finnish Centre of Excellence in Computational Inference Research, Department of Computer Science, Aalto University, Helsinki

(2008- 2012) PhD in Statistics, Purdue University, USA
(2006-2008) MStat in Statistics, Indian Statistical Institute, India
(2003-2006) BStat in Statistics, Indian Statistical Institute, India

Grants

(2020-2022): UKRI-EPSRC, UK, PI at Warwick University, ‘COVID-19: Optimal Lockdown’.
(2020-2023): ECMWF, PI at Warwick University, ‘Data-driven calibration of stochastic parametrization of IFS
using ABC’.
(2020-2022): NERC, UK, CoI at Warwick University, ‘Statistical inference and uncertainty quantification for complex process-based models using multiple data sets’.
(2020-2023): EPSRC, UK, CoI at Warwick University, ‘Twenty20 Insight’.
(2019-2020): Alan Turing Institute, UK, PI at Warwick University ‘Quantifying effects of climate change on extreme weather events via distributional downscaling’.
(2016-2018): Swiss National Supercomputing Center, Switzerland, PI, ‘Highly Parallel Data Science based on Approximate Bayesian Computation’.
(2017-2018): Swiss National Supercomputing Center, Switzerland, PI, “Approximate Bayesian Computation using HPC framework for physical parameter estimation of platelets deposition”.
(2010-2012): Purdue Research Foundation Fellowship, Purdue University, USA, PI at Purdue University, ‘Path
sampling for Bayesian model selection’

Contact

Dr. Ritabrata Dutta

Associate Professor
Department of Statistics
University of Warwick
Coventry, UK CV4 7AL

Email: Ritabrata.Dutta@warwick.ac.uk

Office: MB4.16 Mathematical Science Building

Office hours: Monday (15:30-16:30) and Wednesday (14:30-15:30)