Researcher In Statistical Modelling
• Performed in depth statistical analysis of observed scientific data which included mathematical modelling and error analysis. The results led to publications in international peer reviewed journals.• Employed range of statistical tools including Bayesian statistics, regressions, chi square fitting for parameter estimation and finding uncertainties/risk involved in a given model. • Deployed techniques like time series analysis, stochastic calculus, Markov Chain Monte Carlo (MCMC) simulations to analyse data and predict future trends. • Investigated system stability of non linear differential equations using phase space technique and predicted the initial conditions which lead to a stable solution.• Achieved numerical implementation of the above statistical techniques on languages like Python, R, Matlab etc.• Responsibilities also included lecturing students on mathematical and statistical aspects of physics.• Taught courses like computational physics, quantum mechanics and advance mathematical physics among others.