Welcome to my website!
I am a Financial Economist studying the structural anatomy of the modern data economy.
As an Assistant Professor of Finance at the University of Neuchâtel and Director of the AI & Data Economy Lab, my research focuses on a defining question of our era: Who benefits and who pays for the AI revolution?
My interest in this topic predates the mainstream surge of Generative AI. My curiosity was sparked in 2015 at NYU Stern while analyzing Kenneth Arrow's foundational insights on the distributive effects of data technology during a macro reading group with Tom Sargent. Recognizing early that AI without data is just some software installed on a computer, I realized that data architecture would redraw the lines of competitive advantage. I formally launched my research lab on the AI & Data Economy in 2021, attracting generous funding from the Sandoz Foundation and the ArmaSuisse Cyber-Defense Campus.
My research explores how advanced computation and data feedback loops dictate corporate market power, sovereign dominance, financial returns, and financial stability. I actively investigate the societal friction points where AI technologies risk concentrating capital, while shrinking opportunities for less affluent households. I view the re-evaluation of traditional economic frameworks not just as an academic pursuit, but as an urgent necessity to prevent deep-seated social movements and foster sustainable growth.
I am the recipient of the European Central Bank (ECB) Best Young Economists’ Competition prize and the WFA doctoral dissertation prize. I bring deep institutional experience to my research, having previously worked at the University of Lausanne and served at the IMF, BIS, EBRD, and Norges Bank.
Latest News
09/08/2026 - Excited to lead as a guest speaker the 1st Swiss edition of the Women Macrofinance Roundtable in Zurich. I'm presenting frontier research on Artificial Intelligence in Finance.
09/04/2026 - Happy to discuss "AI Absorbing Innovation" by Amrita Nain (University of Iowa) and Adair Morse (University of California, Berkeley) at the CEPR/RCFS Conference on Technology, Financial Services and Evolving Societal Needs at the University of Gothenburg.
08/20/2026 - Two of my papers "The Participation Reversal Puzzle" and "Is AI Trained on Public Money? Evidence from U.S. Data Centers" have been invited for presentation at the EFA 2026 in Ghent.
08/01/2026 - My paper "Data Innovation Complementarity and Firm Growth" has been accepted for publication at Management Science!