Grüezi!
I am a Quant Researcher at MapleCap Partners AG, an inflation-focused hedge fund based in Switzerland, where I develop forecasting models for inflation dynamics across major developed economies.
Previously, I was a research associate and teaching assistant at the Institute for Statistics and Econometrics at Kiel University. My research lies at the intersection of econometrics, machine learning, and macro-finance, with a particular focus on forecasting inflation in data-rich environments. You can find more about my work in the Research section and my background in the CV section.
November 2025 🚀
I joined MapleCap Partners AG (Pfäffikon, Switzerland), an inflation-focused hedge fund, as a member of the Quant Research Team. I will be developing and implementing inflation forecasting models for major developed economies.
May 2025 🏆
My PhD dissertation received two prestigious distinctions: Dissertation of the Year 2024 (Faculty of Business, Economics and Social Sciences, Kiel University) and the Science Prize 2025 awarded by the Deutsche Bundesbank (Northern Germany Region). I am deeply grateful for this recognition and for the support of everyone who contributed to this journey.
June 2024 🎓
I successfully defended my PhD thesis at Kiel University. A challenging and rewarding milestone that would not have been possible without the support of my family, supervisor, colleagues, co-authors, and friends.
March 2024 📄
Our new De Nederlandsche Bank working paper, "Harnessing Machine Learning for Real-Time Inflation Nowcasting", is now available (see Research section). Joint work with Aishameriane Schmidt and Guilherme Valle Moura. The paper was also selected for presentation at the 2024 Annual Conference of the Brazilian Central Bank and the International Association for Applied Econometrics Annual Conference.
December 2023 📄
Our Deutsche Bundesbank working paper, "Nowcasting Consumer Price Inflation Using High-frequency Scanner Data: Evidence from Germany", is now available (see Research section). Co-authored with Günter W. Beck, Kai Carstensen, Jan-Oliver Menz, and Elisabeth Wieland. A related research letter was also published on the Deutsche Bundesbank website.
June 2023 🌍
The working paper version of "Nowcasting Consumer Price Inflation Using High-frequency Scanner Data: Evidence from Germany" was accepted for presentation at several leading conferences, including the IAAE Annual Conference, the Cleveland Fed/ECB Inflation: Drivers and Dynamics Conference, the Bank of England's ECONDAT Meeting, and the International Symposium on Forecasting.
May 2023 🌍
Our paper "Inflation Nowcasting in Persistently High Inflation Environments", co-authored with Aishameriane Schmidt and Guilherme Valle Moura, was accepted for presentation at major international conferences for the 2023 summer term, including ISF, CEF, the BSE Summer Forum, the European Meeting of the Econometric Society, and Financial Econometrics Meets Machine Learning.
January 2023 💼
I joined the Deutsche Bundesbank as a summer intern in the Prices Team of the Division of Business Cycle Analysis and Projections.
November 2022 🌍
Our work "Nowcasting Consumer Price Inflation Using High-frequency Scanner Data: Evidence from Germany" was presented at the 23rd IWH-CIREQ-GW Macroeconometric Workshop on Inflation in Halle, Germany. The valuable feedback received has directly contributed to our ongoing research agenda.
September 2022 🌍
I presented my single-authored PhD paper, "Bond Portfolio Optimization in Turbulent Times: A Dynamic Nelson-Siegel Approach with Wishart Stochastic Volatility", at the International Symposium on Forecasting (Oxford) and the European Seminar on Bayesian Econometrics (Salzburg). Both events provided outstanding opportunities to discuss my work with leading researchers in forecasting and econometrics.
June 2022 📰
A VoxEU article based on our project "Nowcasting German Inflation Using Scanner Price Data" was published, co-authored with Günter W. Beck, Kai Carstensen, Jan-Oliver Menz, and Elisabeth Wieland. It showcases how high-frequency scanner data can help monitor food price inflation in real time following Russia's invasion of Ukraine.