I am a mathematician and software developer with an M.Sc. in Mathematics from the University of Saskatchewan and a B.Sc. in Engineering Physics from the National University of Colombia. My graduate research in the Numerical Simulation Lab focused on partial differential equations, high-performance computing, and scientific software — work that led to a peer-reviewed publication on analytical solutions for the cardiac extracellular-membrane-intracellular model. Alongside academia, I have spent several years building production mathematics software at Wolfram Alpha and developing Python and C++ systems in the Colombian industry at Monitoreo Inteligente, where I care about clear code, reproducible testing, and measurable performance.

Through M2PI, I am working with Environment and Climate Change Canada to compare optimization methods for training PARADIS, a physics-inspired machine-learning architecture for global weather forecasting. I am excited to bring together numerical methods, scientific computing, and machine learning in a project with direct environmental impact, and to continue growing at the interface of mathematics and industry.