Office: HH 103
BA (Karl-Franzens University Graz), MSc (Institute for Advanced Studies Vienna), PhD (University of British Columbia)
Areas of specialization:
Economic Theory, Algorithmic Game Theory, Econometrics
Research Interests
My research focuses on the economic impact of the use of algorithmic learning in society. I apply tools from game theory, statistics, and simulations to study algorithmic learning in strategic situations. A recent paper of mine looks into settings where firms use algorithms, such as pricing bots, to compete for them.
I'm also interested in econometric theory, specifically for settings of network-dependence. In a recent paper my coauthors and I provide simple inference and testing procedures for network-dependent panel data. We apply these tools to study the interaction between bank-firm relationships and their performance in Spain.
Biography
I completed my BA in economics in Graz, Austria, and my MSc in Vienna. My interests in economic theory were sparked in Vienna, where I was then inspired by my supervisor to pursue a PhD. After completing my Master's in 2016, I moved to Vancouver for my PhD. I realized there that I could combine my interests in game theory and econometrics to study algorithmic game theory. I joined the department of economics at the University of Waterloo in 2023.