I hold a Bachelor’s degree in Physics and am currently pursuing a Master’s in Mathematical Modelling with a focus on numerical mathematics. My interests lie at the intersection of machine learning, data science, and numerical computation, particularly in understanding the mathematical and algorithmic foundations behind modern ML systems.
Rather than treating machine learning models as black boxes, I am interested in the algorithms and numerical methods that make them work efficiently at scale. My work and studies focus on the computational aspects of ML systems and the design of efficient algorithms for large-scale problems.
In numerical mathematics, I am particularly interested in randomized algorithms and mixed-precision arithmetic, especially in contexts where they can improve performance, stability, and scalability of modern machine learning and scientific computing workflows.