I am a Postdoctoral Scholar at the University of Munich passionate about leveraging the data science toolbox to solve economic challenges and to inform high-impact decision-making. My interests are at the intersection of organizational design and digital economics.
Since my time as a Postdoctoral scholar at Stanford Graduate School of Business working with Susan Athey, I am working on applications of machine learning methods for causal inference using high-dimensional data from Danish administrative records to learn about optimal personalized policies. In collaboration with FinTech companies, I use experiments informed by behavioral and decision science to understand consumer behavior regarding savings and charitable giving.
Before joining Stanford GSB, I did my PhD in Economics at LMU Munich studying the impact of digital technologies and the remaining geographic frictions between remote teams on firms' managerial organization using data from German social security records. My supervisors were Monika Schnitzer, Florian Englmaier, and Oliver Falck.
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The best time to invest in digital technologies is now!
In our article in the German newspaper "Wirtschaftswoche" from June 29, 2020, Monika Schnitzer and I advocate for a multi-disciplinary and data-driven approach to effectively use technologies for future-oriented business models (link).
I co-organized "Transatlantic Sync - Germany & Silicon Valley: Shaping a shared digital future" in October 2019. Please find more information on the conference and the idea on https://www.transatlantic-sync.com/.