Paulo has a PhD in Economics from Nova School of Business and Economics where he also completed a Master of Research in Economics. He holds a BSc. in Economics from the University of Chile. After his PhD, he was a Postdoctoral Fellow at the Nova Finance Center. He currently teaches Bridging Mathematics and Math & Stats in the doctoral and masters programs at Nova School of Business and Economics, and also undergraduate Microeconomics at the Lisbon Accounting and Business School. His main research interest are applied microeconomic theory and computational economics, and he is working currently on Agent Based Models simulations. He has published articles in peer-reviewed journals such as Managerial and Decision Economics and Computational Economics, and served as referee for several international economic journals. 

2018 - PhD in Economics, Nova SBE

2014 - Master in Economics, Nova SBE

2011 - Degree in Economics, Universidad de Chile 

Applied Microeconomic Theory and Computational Economics 

• Fagandini, Paulo, Dierickx, Ingemar (2023). Computing profit-maximizing bid shading factors in first-price sealed-bid auctions. Computational Economics, 61, 1009–1035.
• Fagandini, Paulo (2022). Wealth and the principal–agent matching. Managerial and Decision Economics, 43 (2), 555-568.