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I am an Assistant Professor of Marketing in the Leeds School of Business at the University of Colorado Boulder.
IÌýreceived myÌýPhDÌýin Marketing from ÌýÌýin 2018. I spent five wonderful years at Stern, working with my advisorsÌýÌýand . My thesis committee members areÌýAlix Barasch,Ìý, andÌý.Ìý
Prior to that, I was a computer scientist. I obtained myÌýbachelor's degree in computer scienceÌýfrom and my master's degreeÌýfrom the of the atÌý. I was fortunate to start doing research very early on in undergrad with , who introduced me to the fun world of research that I fell in love with. IÌýworked on topic modeling for academic social network analysis and mining in project . During my master'sÌýat CMU, I worked with in , applying natural language processingÌýin tutoring systems to help children learn vocabulary.ÌýI also workedÌýat Google Pittsburgh for three years as a Software Engineer, developing large-scale machine learning models to predict consumers' ad click-through rates for the .
My training in both marketing and computer science, along with my experience in academia and industry, has shaped my research interests and methodologies. Generally speaking, I am interested in applying, developing and improving machine learning techniques to solve complex problems in consumer behavior and decision-making across areas such as visual marketing, recommendation systems, branding, and product design. In particular, my research focuses on the elicitation, measurement, and prediction of consumer preferences and choices.Ìý
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