About

My path began at the University of Mannheim, where I studied economics and developed a strong interest in data modeling and quantitative analysis. During a short stay in the financial sector, I appreciated the rigor and analytical challenges of the work — but I found myself increasingly drawn to biological and health-related questions, where data analysis could directly contribute to understanding human health and disease.

That shift in focus led me to pursue a second Bachelor of Science in nutrition and biomedicine, where I discovered how much I enjoy working with biological data to explore mechanisms like metabolic imbalances and disease susceptibility. From that point on, science became a natural fit for both my skills and my curiosity. I completed a Master’s in Biomedicine and went on to pursue a PhD in Mitochondrial Biology, focusing on muscle ageing.

During this time, I was fortunate to visit Ireland and joined a rock-climbing club. I was very fortunate to find good climbing partners, and this has led to my love for climbing. While I ski-tour, mountain run, bike and swim, climbing has become my first passion after science.

Now, as a postdoc at ETH, I’m diving into systems biology, using 13C metabolomics, metabolic networks and machine learning to tackle metabolic flux analysis for clinical research and diagnostics, with a focus on cancer metabolism. After 10 years of working with R, I’ve expanded my skills by learning Python and Git/Gitlab from scratch in 2022. While it’s been a steep learning curve, I’ve experienced that growth happens when you step outside your comfort zone.

Over the years, I’ve also come to deeply value working in a team environment where empathy, encouragement, and mutual respect are seen as strengths. I’m highly motivated, curious, and inspired by the chance to keep discovering, learning, and contributing to meaningful research.