Professor Of Practice Of Behavioral Economics at Cornell Dyson School of Applied Economics & Management
City of Ithaca, New York, United States
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Summary
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Senior
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Top School
Stephen Shu is a Professor of Practice in Behavioral Economics at Cornell Dyson and Academic Director for Cornell CEMS and the MPS program, bringing over three decades of industry and academic experience to behavioral finance and organizational decision design. He helped incubate early commercial behavioral economics initiatives and has advised firms across retirement, wealth, banking, and FinTech—clients include Acorns, Allianz GI, Mercer, Voya, and WisdomTree. Stephen blends rigorous academic training (PhD in Behavioral Finance, MBA from Chicago, MEng/BS from Cornell) with hands-on product and consulting experience from roles at Nortel, PRTM, and numerous startups. He founded Digital Nudging Tech and directed centers for behavioral finance, translating theory into scalable interventions and innovation programs. Alongside academic leadership and books on nudging and consulting, he brings a rare engineering-rooted perspective—evident in earlier systems and back-end development work—that helps bridge technical, behavioral, and commercial worlds.
13 years of coding experience
5 years of employment as a software developer
Executive Education - Dynamic Management Program, Executive Education - Dynamic Management Program at Duke University - The Fuqua School of Business
Master of Business Administration (MBA), Master of Business Administration (MBA) at The University of Chicago Booth School of Business
Doctor of Philosophy (PhD) Behavioral Finance, Doctor of Philosophy (PhD) Behavioral Finance at City St George’s, University of London
Master of Engineering (MEng) Electrical Engineering, Master of Engineering (MEng) Electrical Engineering at Cornell University
HyperDex is a scalable, searchable key-value store
Role in this project:
Back-end Developer
Contributions:13 commits in 1 year 3 months
Contributions summary:Stephen primarily contributed to the HyperDex key-value store project by implementing and modifying core back-end components. Their work included merging client-side code, particularly for Windows compatibility, and making related adjustments to client and common libraries. The user also introduced OSX support and addressed build-related issues, indicating a focus on cross-platform support and build system maintenance. The changes touch upon serialization, coordination links, and pending search operations, demonstrating a deep understanding of the project's architecture.
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