Nicolas Padilla

Dr Nicolas Padilla's research focuses on developing innovative frameworks to understand consumer behavior and optimize marketing strategies using first-party data and machine learning tools. He specializes in modeling consumer browsing behavior, customer dynamics, preference measurement, and modern marketing mix models.

Methodologically, his work combines advanced machine learning techniques with probabilistic modeling. Nicolas holds a PhD in Quantitative Marketing from Columbia Business School, an MSc in Operations Management, and a BSc in Engineering Science from Universidad de Chile.