
Graduate Research Assistant
Developed Python tooling for CFD and scientific computing problems. Facilitated weekly scrum‑style meetings across Applied Math and Chem Eng. Collaborated with a team of four to prototype and benchmark solvers.
Applied Mathematics (M.Math) graduate and software engineer focusing on scientific computing, numerical methods, and computational fluid dynamics. I like turning complex models into performant, maintainable code.
I’m a University of Waterloo M.Math graduate in Applied Mathematics with 3+ years of software engineering in scientific computing and computational fluid dynamics. My research and industry work center on high‑performance Python, numerical methods, and building tools that make large, abstract datasets usable.
Developed Python tooling for CFD and scientific computing problems. Facilitated weekly scrum‑style meetings across Applied Math and Chem Eng. Collaborated with a team of four to prototype and benchmark solvers.
Built code to model a chemical reaction; co‑authored a published paper and presented at the Canadian Undergraduate Math Conference. Improved legacy C code readability and added higher‑order numerical schemes. Automated concurrent simulations via Bash.
Developed Python algorithms that supported proofs in graph theory; co‑authored a published paper and gave a talk at CUMC for 50+ students.
Implemented Python algorithms for Matroid theory on Unix; marked quizzes for a large course cohort (80+ students).
Handled inquiries and donations; maintained financial records with an improved Excel system. Coordinated Relay For Life, raising $60k+.