Dr. Marcos Lopez de Prado
Global Head of Quantitative R&D, ADIA | Professor of Practice, Cornell University
Dr. Marcos Lopez de Prado is the Global Head of Quantitative Research & Development at the Abu Dhabi Investment Authority (ADIA) and a Professor of Practice at Cornell University's College of Engineering. He has published dozens of scientific papers on financial machine learning and backtest overfitting, earning multiple Quant of the Year awards.
Areas of focus
Professional niches
Proof of Work
Abu Dhabi Investment Authority (ADIA): Empirical Domain-Specific AI Evaluation Benchmark & Methodology
An empirical evaluation methodology developed by Dr. Marcos Lopez de Prado at Abu Dhabi Investment Authority (ADIA), establishing standardized performance metrics, domain-specific evaluation sets, and error taxonomy protocols.
Evaluation benchmark protocol; empirical accuracy reflects specific test distributions and requires periodic refresh.
Context: Benchmarked across domain-specific validation sets and human golden baselines.
View missionAbu Dhabi Investment Authority (ADIA): Domain-Specific AI Evaluation Benchmark & Methodology
An empirical evaluation methodology developed by Dr. Marcos Lopez de Prado at Abu Dhabi Investment Authority (ADIA), establishing standardized performance metrics, domain-specific evaluation sets, and error taxonomy protocols.
Evaluation benchmark protocol; empirical accuracy reflects specific test distributions and requires periodic refresh.
Context: Mathematical finance, combinatorial cross-validation, and portfolio optimization.
View mission