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Arindam Fadikar

Postdoctoral Appointee

Arindam is interested in developing statistical techniques for computer model calibration, inverse problem and uncertainty quantificaiton with applications in cosmology, epidemiology.


Arindam’s research is largely motivated by finding ways of doing predictions and uncertainty quantifications for a physical system by using simulation model and combining that with observations. In particular, he is interested in stochastic simulations, and understanding the inadequacy in the computational model in representing the real system. Arindam graduated from Virginia Tech with a PhD degree in Statistics in 2019, where he worked with epidemiologists and used computer model to predict flu outbreak in USA. He has received his Masters from Indian Statistical Institute in 2011.