His research focuses on applying machine learning techniques to tame unstructured data to shed light on consumer behavior and managerial implications in E-Commerce settings. His research projects include topics in e-commerce, m-commerce, recommender systems, sharing economy, and social network marketing. He previously worked at many different tech start-ups (mobile, b2b analytics, recommendation web 2.0) and Blackrock as a software engineer and at Thompson Reuters as a machine learning contractor building a natural language processing engine for financial data to be sold to high frequency algorithmic trading firms. He holds a Bachelor’s degree in Computer Science from Columbia University and a Master’s degree in Statistics from Yale University and PhD in Operations, Information and Decisions from the Wharton School, University of Pennsylvania. Close