About me:

I am a mathematician with eight years of academic experience, specializing in probability theory, partial differential equations (PDEs), rough paths, numerical analysis, and control. My research has involved developing rigorous mathematical frameworks to tackle complex phenomena arising in micromagnetism, fluid dynamics, and neuroscience. Alongside this theoretical focus, I’ve grown increasingly interested in leveraging my skills for data-driven projects. In particular, I now explore how my background in stochastic analysis and high-level problem solving can be applied to data science and machine learning, where translating real-world datasets into actionable insights is both a challenge and an exciting opportunity.