Professor Choi's research interests lie at the intersection of real estate, finance, and AI/ML technology, where he addresses pressing challenges and explores emerging opportunities in these fields. His work focuses on the dynamics of price bubbles, particularly their empirical detection across diverse asset classes. Currently, he is developing a neural network framework to advance the asset price bubble technology introduced in his co-authored study with Jarrow (2024, working paper).

Housing affordability is another critical area of Professor Choi's research, where he examines the economic, social, and policy dimensions of making housing accessible to diverse populations. In a collaborative project with Nowak, Smith, and Tchistyi (2024, working paper), he investigates which groups of homebuyers are most susceptible to the winner's curse effects, including lower housing returns and higher mortgage default probabilities, in the U.S. housing market. Additionally, he explores potential disparities within the real estate brokerage industry and their impact on housing outcomes. His broader research agenda includes topics such as mortgage finance, accessible credit, and the interplay between climate risk and real estate markets.

Professor Choi also delves into the complexities of debt contracts and the valuation of contingent claims. In a collaboration with Jarrow, Lebret, and Liu (2024, working paper), he formalizes and prices co-tenancy clauses, which are common in retail contracts, using an option pricing framework. Building on this foundation, he is extending reduced-form credit risk models to investigate applications in climate risk and insurance, analyzing how environmental challenges affect financial systems and real asset valuations.

Finally, Professor Choi is deeply committed to integrating artificial intelligence and machine learning into his research on finance and real estate. These advanced tools are integral to his work on price bubble detection, housing market dynamics, banking, and climate risk modeling, enabling him to uncover patterns and insights that traditional methods might overlook.

Professor Choi holds a Ph.D., MA, MPS from Cornell University and AB from Bowdoin College