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 economic consequences of artificial intelligence and big data technologies. In my research, I shed light on important societal questions including (but not limited to) the implications of data technologies on the macroeconomy, 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 various prizes, including the ECB Young Economists' Competition in 2021, the Cubist Strategies Prize for Outstanding Research at the 2019 WFA, the Sandoz Foundation - Monique de Meuron Program Fellowship in 2022, and the ArmaSuisse Cyber Defense Fellowship in 2024. 

Moreover, my teaching of these topics has been awarded the Innovation in Teaching FIP Grant in 2024 and the "Best Teacher in the MSc of Finance 2023-2024 Program" award.

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

I aim for a more balanced allocation of resources and sustainable economic system.