Roxana Mihet

“By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.”  (Eliezer Yudkowsky)

I started the AI & the Digital Economy Lab at the University of Lausanne to study the impact of artificial intelligence and big data technologies on the economy. In my research, I shed light on important societal questions including (but not limited to) the implications of new technologies on the macroeconomy and the financial sector, on competition dynamics, on growth and inequality, on sustainability, and on climate change. I also examine how regulations, such as data privacy regulations and energy regulations, determine firms' incentives to develop and adopt AI technology.  

My research has won multiple prizes, including the ECB Young Economists' Competition, the Cubist Strategies Prize for Outstanding Research at the WFA, and others, and has attracted generous funding from the Sandoz Foundation - Monique de Meuron Program for Academic Excellence, and the ArmaSuisse Cyber Defense (CYD) Campus. 

My teaching of these topics at the University of Lausanne has also been awarded multiple prizes, such as "Best Teacher in the MSc of Finance Program" Award in 2023 and 2025, and the "Fonds d'Impulsion Pédagogique" Award.

I regularly get invited to give lectures in French, participate in panels, or be an expert policy advisor on topics related to AI and big data in finance.

I obtained my PhD in Business Economics from NYU Stern in 2020, an MPhil in Economics from the University of Oxford, and a B.A. in Economics and Mathematics from the University of Chicago. I grew up in Bucharest, Romania.

I aim for a more balanced allocation of resources and for a rethinking of economic laws in the modern data economy.