Kohei Onzo

Ph.D. Candidate in Marketing, Columbia Business School

I am a Ph.D. candidate in Marketing at Columbia Business School. My research explores consumer search, consumer learning, attention, and advertising. I address questions in these areas by developing methods in probabilistic machine learning, such as Bayesian nonparametrics and deep generative modeling, as well as in inverse reinforcement learning, with an emphasis on models that draw on a wide range of data, including unstructured data. In ongoing work, I study filter-assisted search on e-commerce platforms, build a flexible model of dynamic consumer preferences, and investigate viewer attention to commercials and their spillover effects.