I am a computational scientist with a master’s degree from ETH Zürich whose research interests span the intersection of foundational mathematical domains and their applications in modern machine learning and data science. My work focuses on core computational science areas including probability, statistics, optimization, and numerical linear algebra. I’m particularly passionate about exploring how these fundamental mathematical topics can be applied to enhance both the theoretical frameworks and practical implementations in machine learning and data science.