Assistant Professor,
Department of Economics and Finance
My research and teaching interests lie at the intersection of macroeconomic and financial forecasting. In my doctoral work, I developed models for predicting exchange rates, inflation, and industrial production using both Bayesian and classical regression techniques. I explore methodologies including shrinkage priors, MCMC, nonlinear models, variable selection, and non-parametric approaches to enhance prediction accuracy while building upon established economic theories. My upcoming research focuses on developing sophisticated forecasting frameworks that provide actionable insights for policymakers, financial institutions, and economic stakeholders.
Educational Qualifications:
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