Dan Tran is an invited assistant professor at the Católica Lisbon School of Business & Economics. He was a research fellow at the GREThA, CNRS (National Center for Scientific Research) & University of Bordeaux in France. He holds a Ph.D. in financial economics, and a M.Sc. in Risk Engineering. His research focuses on computational modeling and machine learning in banking and finance, on topics such as financial stability, network externalities, and synthetic data.
Publications
Working Paper
Bank runs, fast and slow
, 2019
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Working Paper
Shock diffusion in large regular networks: the role of transitive cycles
Cahiers du GREThA (2007-2019), 2018
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