I am a computational mathematician with a background in theoretical physics, specializing in mathematical physics. My recent research is working on quantum algorithms for finance—particularly portfolio optimization for bond allocation—using high-performance computing. I have a strong foundation in machine learning and am well-versed in mathematical formulation and formalism. As part of an Information Systems study programme, I teach basic courses in mathematics, programming, and introductory topics in forecasting and data visualization. My future goal is to deliver mathematics to my audience as a crucial element for developing and advancing technology. Outside of work, I enjoy exploring philosophy, religion, politics, finance, and the meaning of life, as well as playing musical instruments and taking long walks.