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I am an Assistant Professor of Marketing in the Leeds School of Business at the ��������.

I��received my��PhD��in Marketing from ����in 2018. I spent five wonderful years at Stern, working with my advisors����and . My thesis committee members are��Alix Barasch,��, and��.��

Prior to that, I was a computer scientist. I obtained my��bachelor's degree in computer science��from and my master's degree��from the of the at��. 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. I��worked on topic modeling for academic social network analysis and mining in project . During my master's��at CMU, I worked with in , applying natural language processing��in tutoring systems to help children learn vocabulary.��I also worked��at 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.��

I developed and teach an AI course called “Modern AI: Introduction to AI for Business” in the Master of Business Analytics program, for which I've been awarded the MSBA Faculty Award (a.k.a. Teaching Excellence Award).

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