Seokwoo J. Lee, Ph.D
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Visiting Assistant Professor of Finance
Robert H. Smith School of Business,
The University of Maryland (2021-present)
Visiting Assistant Professor of Finance
Stephen M. Ross School of Business,
The University of Michigan (2019-2020)
Visiting Scholar (Finance) at The Wharton School
The University of Pennsylvania (Fall 2017; Fall 2018)
Assistant Professor of Finance (on leave 2019 AY)
School of Business, George Mason University (2013-2020)
Non-Academic Appointments
Senior Investment Strategy Consultant
Qraft Tech. USA, New York, NY
Research Scientist
ARM, Cambridge, United Kingdom
Contact:
University of Maryland
Robert H. Smith School of Business
Van Munching Hall College Park, MD
Office: VMH 4457
email: swlee7 at umd dot edu
Research Interests
Research Interests
Financial Institutions and Contracting, Continuous-time Asset Pricing and Corporate Finance, Robust Beliefs, Machine Learning Methods in Finance, Economics of Blockchain (using Global Games), Bayesian Econometrics
Google Scholar: https://scholar.google.com/citations?user=QEKosTUAAAAJ&hl=en
Citations (including Computer Science publications): 1,285
H index: 8
Professional Services
Professional Services
Referee: American Economic Review (AER), Journal of Finance (JF), Management Science (MS), Review of Finance (RF), Journal of Financial and Quantitative Analysis (JFQA), Journal of Corporate Finance, Journal of Banking and Finance, Journal of Financial Intermediaries, Journal of Business and Economic Statistics, The Scandinavian Journal of Economics, Asia-Pacific Journal of Financial Studies.
Program Committee: European Finance Association (EFA) 2021 - present.
Education
Education
Ph.D. Finance (2013)
Ross School of Business, University of Michigan, Ann Arbor
M.S. Statistics (Bayesian Econometrics, 2008)
University of Chicago
Ph.D. Candidate (All But Dissertation) in Computer Science, EECS (2003 - 2006)
M.S. in Computer Science, EECS (2003 - 2005)
B.S. (summa cum laude) in Computer Science and Engineering (2001 - 2003)
College of Engineering, University of Michigan, Ann Arbor
U.S. Patent
Recovery from errors in a data processing apparatus, U.S. Patent Number: 20050207521.
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