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Max Reppen is an Assistant Professor of Finance at Boston University's Questrom School of Business. He obtained his PhD from ETH Zurich in 2018, where he focused on finance and optimal stopping problems in mathematical finance. Reppen's research interests lie at the intersection of finance and applied mathematics, particularly in the areas of mean field games and their applications in cryptocurrency mining as well as optimal stopping strategies. He has presented his work at various prestigious conferences, including INFORMS AN23 and ICIAM 2023, where he discussed topics such as Neural Optimal Stopping Boundary and its implications in financial models. His academic journey also includes multiple degrees from KTH Stockholm and the Stockholm School of Economics, highlighting a strong foundation in both theoretical and applied aspects of financial studies.
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