I am a post-doctoral researcher at the Technical University Munich (TUM), where I am affiliated with the Professorship of Global Health (Prof. Janina Steinert) and the Professorship of Public Policy for the Green Transition (Prof. Florian Egli). I hold a post-doctoral fellowship funded by the German Research Foundation (DFG Walter-Benjamin Fellowship). 

Before I came to Munich, I worked at the at the Department for Economics, Econometrics and Finance at the University of Groningen (Netherlands) and at the Chair of Development Economics at the University of Passau (Germany) where I also obtained my PhD under a joint doctoral program. For my dissertation, I received the KfW Development Bank's award for practice-relevant development research and the Helmut-Schmalen Dissertation award. 

In my current project Mercury Rising, I investigate the consequences of climate change for global health. More broadly, my research lies at the intersection of health economics and development economics and mainly contributes to innovative solutions for improving public health and health care systems in low- and middle-income countries. In particular, I focus on cost-effective solutions for the prevention and treatment of chronic diseases. Moreover, I investigate the health consequences of climate change and aim to understand how humans can become more resilient to climate shocks. 

Other strands of my research cover projects related to Education Economics, Behavioral Economics in the context of microfinance and health, and Agricultural Economics. For example, I am involved in an RCT aiming to reduce violence of teachers against children in Tanzania, in a lab-in-the-field experiment in Bolivia aiming to re-design loan contracts of microfinance institutions, and in a project revolving around social networks and peer effects in the context of technology adoption in Indonesia.

In my works, I apply micro-economic and -econometric methods and rely on insurance data, social network data, geospatial data, climate simulation and health simulation models, as well as primary data collected in the field via household surveys, online surveys, and lab-in-the-field experiments.