Dr. Darko B. Vuković is a Full Professor and economist whose research connects economic geography, financial economics, and quantitative modelling. At the Geographical Institute “Jovan Cvijić” of the Serbian Academy of Sciences and Arts, he studies economic processes and their regional and international dimensions. His expertise includes machine learning, deep learning, econometric modelling, and forecasting. He applies these methods to analyze economic and financial dynamics, assess risk, and inform investment decisions under uncertainty. His research combines statistical models, neural networks, and optimization methods, with particular attention to predictive accuracy and model reliability during periods of economic instability. In economic geography, his interests include regional development, investment attractiveness, local government finance, and the relationships between financial markets and regional economies. He also examines digital transformation, firm performance, and the transmission of economic and financial shocks across countries and markets. His scientific contributions include the development and application of models for financial forecasting, portfolio optimization, and risk assessment. His work connects modern machine learning methods with economic questions concerning capital allocation, market interdependence, and development finance. Research fields: Machine learning and deep learning, econometric modelling and forecasting, economic geography and regional development, financial markets and risk management, portfolio optimization, digital transformation.