Main 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.

Main research areas: Bayesian statistics and modelling, data-driven inference, complex systems and stochastic modelling, Monte Carlo algorithms, high-performance computing.Main project:- Development of Hamiltonian Monte Carlo (HMC) algorithms for Bayesian parameter inference with stochastic differential equation models.

Main research areas: multi-dimensional methods in Nuclear Magnetic Resonance (NMR) spectroscopy, R&D of NMR superconducting magnet systems, software development for measurement automation.A few of my projects: - Modelling of perturbations and signal modulations in NMR spectroscopy.- Development of a novel high-resolution two-field NMR system.- Development of a LabVIEW framework for measurement automation.

Main research areas: spin physics, spin relaxation, multiple-quantum correlation NMR spectroscopy, correlated protein dynamics.A few of my projects:- Single- and double-quantum nitrogen-14 correlation NMR spectroscopy. Observation of ns-timescale dynamics in solid peptides.- Control of heteronuclear multiple-quantum spin relaxation for probing fast correlated biomolecular dynamics in NMR spectroscopy.- Uniform broadband excitation of rotating poly-crystalline solids.