Ph.D. in Artificial Intelligence with over 15 years of full-time professional experience in academia, research, and leadership roles. Led diverse teams, including a 10-member interdisciplinary research team and an organization with over 50 persons. Focused on machine learning and deep learning research and development for the last 6 years, published two papers in top-tier journals in the Artificial Intelligence discipline, and contributed to financial time series forecasting. Implemented a combined time-frequency and machine learning trading pipeline and utilized novel engineered features based on the Hilbert-Huang transform, resulting in a more than 211% increase in portfolio formation performance.