If there's one thing that I absolutely must have in my future career, it's the opportunity to solve interesting problems. Computational finance is a gold mine of problems to solve, which is what motivated me to enroll in the MSCF program and pursue a career in quantitative research. For my undergraduate, I studied mathematics at the University of Washington, where I developed a strong theoretical background and conducted original research in probability theory and optimization. Empowered by Python and statistical learning methods, I have solved challenging problems in both research and academic projects. Outside of my academic work, I enjoyed participating in the ICPC and Putnam competitions, where I got to flex my problem-solving skills even further. Outside of that, I like abstract puzzle games and using my head. I am always available to chat or discuss interesting problems. Just contact me!
