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Ludovic Tangpi is an Associate Professor in Operations Research and Financial Engineering at Princeton University. He directs graduate studies and is recognized for his contributions to the field of financial mathematics, which includes research in risk management, model uncertainty, and optimal investment strategies. His work in stochastic analysis covers areas such as stochastic control, stochastic differential equations (SDEs), backward stochastic differential equations (BSDEs), and forward-backward stochastic differential equations (FBSDEs), as well as probabilistic representations of parabolic and elliptic partial differential equations (PDEs). Tangpi also specializes in probability theory, particularly in optimal transportation and functional inequalities. Through his research, he aims to provide insights and methodologies that enhance decision-making in uncertain financial environments.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.