About Me

Hello! I'm Samuel. Computational science is my playground, and systems are my superpower. I love working at the intersection of research-grade ideas and real-world execution—where you're chasing insight and trying to ensure the relevant systems are dependable. My sweet spot is taking complex, messy problems and shaping them into clear strategies, solid architectures, and workflows people can actually rely on.

I'm especially at home designing end-to-end applications focusing on computational pipelines:from simulation and analysis to automation, testing, and CI/CD that keeps results reproducible and iteration fast. Whether it's building a clean modular structure, setting up robust experiments, or making deployments that much easier, I focus on creating novel systems that answer complex problems while scaling and staying maintainable.

My current research sits in mathematical modeling, especially PDE-driven systems—the kind where the real challenge is translating a mechanism into something you can analyze, simulate, and trust. I enjoy the full arc: choosing (or deriving) the right model from theoretical proofs, being honest about assumptions and boundary conditions, and then building computational workflows that make results easy to validate and hard to accidentally break.

I build with curiosity, clarity, and a little playfulness—because the work is serious, but the process doesn’t have to be. Bonus points if we can make it elegant, testable, and delightful.