Senior Research Scientist
CurrentMain interests and research areas: Bayesian data science, machine learning, data-driven inference, complex systems and stochastic modelling, nonlinear dynamics, time-series analysis, Monte Carlo algorithms, high-performance computing.A few of my projects:- Advanced Bayesian inference with stochastic hydrological models.- Learning low-dimensional features in high-dimensional noisy data for Approximate Bayesian Computations (ABC) using deep neural network based Autoencoders.- Recurrence of quiescent phases in solar magnetic activity explained by stochastic resonance with a time delay dynamo model.