My passion lies in applying mathematics to real-world, multidisciplinary challenges. My research focuses on the intersection of mathematical modeling, infectious disease dynamics, and Bayesian inference, supported by extensive experience in Bayesian statistics, inverse problems, optimization algorithms, and epidemiological modeling. While a significant part of my work centers on infectious disease dynamics, my interests are broader and include inverse problems for partial differential equations, uncertainty quantification, and applications across diverse data domains, including genomic and wind energy data.

I value a balanced approach to life and work. Outside of research, I enjoy staying active through sports and engaging in activities that complement and enrich my academic work, helping me maintain creativity and perspective in my research.