Veronica Seer

Veronica Seer is a Researcher at the Department of Economics, Ca' Foscari University of Venice. Her work bridges computational methods with economic and financial analysis, leveraging machine learning techniques to advance theoretical and applied research.

Her publications focus on interdisciplinary methodologies, including contributions like the 2020 book chapter Random Projection Methods in Economics and Finance, which explores algorithmic approaches in financial modeling and economic forecasting.

Dr. Seer's research interests lie at the intersection of machine learning, quantitative economics, and computational finance, with a particular emphasis on data-driven analytical frameworks.