New York University, Stern School of Business
Department of Technology, Operations and Statistics
Technology(Information Systems) PhD
2023~
Hello! 👋
I am a fourth-year PhD candidate in the Technology Group at Stern.
I study the economics and governance of generative AI.
My research examines (i) how genAI creates economic value, and
(ii) how governance mechanisms should be designed to allocate that value across stakeholders.
One stream of my research studies how visual generative AI creates value in creative and digital markets. I examine when AI-assisted visuals improve advertising performance and how creators’ adoption of visual genAI changes the production, diversity, and distribution of content on digital platforms.
The creation of new value raises a corresponding governance question: How should the resulting economic value be allocated? A second stream of my research examines the governance of AI assets, including the design of licenses and compensation mechanisms for copyright owners and data providers whose content is used in AI training.
Outside of academics, I enjoy photography and often capture moments with my Canon camera. If you're interested in seeing my work, feel free to visit my Instagram photography account.
Research Interests
Research Interests:
Economics and Governance of Generative AI
(1) AI Licensing, Data Compensation, and Platform Governance
(2) AI-Driven Value Creation in Creative and Digital Markets
Methodology:
Econometrics, Applied Machine Learning,
Structural and Analytical Modeling, and Experiments
Working Papers:
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License Governance in AI Asset Platforms
Hyesoo Lee, Masakazu Ishihara, Anindya Ghose
Invited Presentations
WISE 2026 (Upcoming)
INFORMS 2026 (Upcoming)
AOM Doctoral Consortium 2026
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Compensating Copyright Owners for AI Training Data
Hyesoo Lee, Yannis Bakos
Invited Presentations
WISE 2026 (Upcoming)
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GenAI and the Long Tail of Creative Output: An Empirical Analysis of Adult Content Communities
Hyesoo Lee, Gordon Burtch, Anindya Ghose
Invited Presentations
CIST 2025
WISE 2025
AIML 2025
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The Impact of Visual GenAI on Advertising Effectiveness
Hyesoo Lee, Vilma Todri, Panos Adamopoulos, Anindya Ghose
Full Manuscript: Available on 🔗 SSRN
Invited Presentations
CIST 2026 (Upcoming)
Google, New York Office 2025
WAICI 2025
ICIS 2024 Full Paper Track
INFORMS 2024 Data Science Workshop
Media Highlights
Featured in Compass Lexecon’s Insights 🔗 Compass Lexecon (Link)
Highlighted by Neil Hoyne (Chief Strategist, Google) 🔗 LinkedIn Commentary (Link)
Awards, Scholarships and Patents
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Merit-Based Award, TOPS Department, NYU, 2026
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Doctoral Consortium Grant, Academy of Management, 2026
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Funded by National Science Foundation (NSF)
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INFORMS Workshop on Data Science Student Scholarship, 2024
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Stern School of Business Doctoral Fellowship, NYU, 2023~2028
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Patent of Blending tea-bag maker, 2023
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Issued: August 2023, Patent #10-2573347
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Dean's Lists, High Honor, Merit-based scholarship, KAIST, 2023
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Top 3% in the Business and Technology department in KAIST
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Outstanding Paper Awards, Korea MIS Society, 2022
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Younghan Kim Global Leadership Scholarship, KAIST, 2022
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25 selected students across the entire campus
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Dean's Lists, Highest Honor, Merit-based scholarship, KAIST, 2022
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Top 1% in the Business and Technology department in KAIST
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Global Leadership Awards, President of KAIST, 2022
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Top 1% at KAIST campus
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Korean Intellectual Property Office Award, Life Invention Korea, 2021
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Encouragement Award, Applied Materials PR Idea Contest, 2021
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Jeollanam-do Governor Award, Academic Conference for the Development of Mokpo Food Tourism, 2020
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Excellence Award, 4th Panasonic PR Challenge, 2019
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Invention Award, Agricultural Food 6th Industry Blue Startup Idea Contest, 2018
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Grand Prize, 1st Hangul and Computer Messenger Contest, 2017