David Ampudia

David is a Data Scientist at the Innovation Growth Lab (IGL).

His role at the Lab focuses on helping grow the team’s capability for using data analysis and statistics to uncover and pursue opportunities to improve the effectiveness and equity of innovation and business policy.

Prior to joining the IGL in 2022, David worked as a Research Fellow at the Data Center of the Barcelona School of Economics (BSE). His work involved the development of state-of-the-art sequential decision-making algorithms, with a particular focus on Bayesian Optimization and multi-armed bandits. He also contributed to multiple political economy projects, helping develop and implement improved methodologies using novel data sources and techniques. As a member of the Center, David has taught text-based deep learning courses at the Summer School of the BSE for several years now. Before this, David worked as an economic consultant for FocusEconomics, a macroeconomic research and forecasting institute.

David holds a one-year MSc in Data Science Methodology from the Barcelona School of Economics, and a two-year MRes in Analysis and Policy in Economics at the Paris School of Economics. He also has a BA in International Economics from the Universitat Pompeu Fabra.