I am a Postdoctoral Scholar at Stanford Graduate School of Business 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 digital and organizational economics.
Together with Susan Athey, I am currently 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 economics 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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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/.