I am a Postdoctoral Scholar in Economics affiliated with the Economics Department at LMU Munich as well as the Digital Business Initiative and the Golub Capital Social Impact Lab at Stanford Graduate School of Business.
I am interested in organizational and digital economics as well as behavioral and decision science. I am passionate about leveraging economic intuition in combination with data science tools including big data, machine learning and econometric methods for research and high-impact decision-making.
I work on applications of machine learning methods for causal inference using high-dimensional data from Danish administrative records to learn about optimal targeted policies of large-scale interventions. In collaboration with a financial technology company, I design and implement experiments and recommendation systems to create targeted user experiences aiming to increase charitable giving.
I am also interested in the impact of digital technologies and geographic frictions between remote teams on firms' managerial organization using data from German social security records.
I did my PhD in Economics at LMU Munich, 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 26, 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/.
I have been featured by Stockholm School of Economics as one of their alumni here.