Assistant Professor (Junior professor) of Finance and Labor,
Friedrich Schiller University Jena
Economist, Department of Laws, Regulations and Factor Markets,
Halle Institute for Economic Research (IWH)
Visiting Researcher, Department of Economics,
The Ohio State University
I am an economist working on innovation and the economics of digitization, with a particular focus on artificial intelligence. My research asks how firms create and capture value from new technologies, and how AI and digitization reshape work, human capital, and labor markets. I received my Ph.D. from Cornell University in 2024, and before joining IWH and Jena I was a postdoctoral fellow at The Ohio State University and at the Digital, Data, and Design Institute at Harvard Business School.
Shows that the estimated difference in fuel-tax pass-through between vertically integrated and independent petrol stations is driven by an omitted group-specific post-reform price trend. Once that trend is included, the differential disappears for diesel and is roughly halved for gasoline.
Asks whether firms get better at AI by doing AI, or whether already-capable firms simply do more of it. Accumulated experience makes patenting cheaper, producing fewer examiner rejections and faster time to grant, but does not make the patents more valuable, suggesting that the strong link between experience and patent value reflects selection on a persistent firm capability rather than learning.
Presented at MaCCI Annual Conference, Mannheim, 2026; Halle Institute for Economic Research (IWH).
Scheduled 3rd Cornell Economics Alumni Workshop, 2026; 53rd EARIE Annual Conference, Mannheim, August 2026.
Draft available upon request
Uses the release of ChatGPT and a near-universe of U.S. job postings linked to O*NET tasks to show that hiring contracts and skill requirements narrow in occupations generative AI can automate, while in occupations it complements, the content of jobs is rewritten rather than the volume of hiring.
Presented at European Association of Young Economists (EAYE) Annual Meeting, Bilbao, 2026; 24th ZEW Conference on the Economics of Information and Communication Technologies, 2025; Americas Conference on Information Systems (AMCIS), Montreal, 2025.
Coverage “Enhance or Eliminate? How AI Will Likely Change These Jobs,” HBS Working Knowledge, 2026; “Can AI do your job? New Harvard Business School research shows how tech could reshape 900 careers,” WBAL-TV.
Separates specialist AI developers from the downstream integrators that apply AI across products, services, and operations, and asks how investors value the latter's innovation. Across 1.8 million patents from 2001 to 2023, integrators' AI patents carry a 6.9 percent value premium over comparable non-AI patents, traceable to knowledge spillovers from specialist developers and followed by higher profitability margins and market share.
Presented at Hawaii Accounting Research Conference, 2025.
Presented by coauthors at Harvard Business School; Hong Kong University of Science and Technology; Tsinghua University; China Europe International Business School.
Coverage “A ‘Tool for Winners’: What 1.8 Million Patents Reveal About AI’s Value,” HBS Working Knowledge, 2026.
A three-stage model of R&D, licensing, and differentiated price competition asking when modular innovation raises welfare, and who captures the gains. Contract form and bargaining power, rather than the technology itself, determine whether consumers see any benefit.
Presented at Western Economic Association International, 101st Annual Conference (CSWEP session), 2026.
Embeds quantum principles in classical game-theoretic frameworks, expanding the set of feasible equilibria and often softening competition across canonical settings including Bertrand and Cournot competition, Stackelberg leadership, and auctions.
Empirical companion to The Economic Benefits of Modular Innovation.
Friedrich Schiller University Jena · Summer Semester 2026 · Instructor of record
A graduate course on how AI is produced, adopted, and valued, and what it does to firms, workers, and markets.
Outstanding Graduate Teaching Assistant Award, Cornell University, 2022.