Connecting the dots. It's what I do.
I'm Olanrewaju (Ola) Muili, a Computational Engineer focused on finite element modeling, multiscale simulation, and AI for physical systems. My background spans an M.S. in Geosciences from Georgia State University, an M.S. in Computer Science from the University of Colorado Boulder, and a B.S. in Geology from the University of Ibadan, Nigeria. Across these experiences, I've been drawn to using quantitative tools and ML systems to solve hard problems in the physical world.
I build AI-powered systems that combine classical simulation with modern machine learning—from geospatial risk prediction and early-warning agents to LLM observability platforms for production AI applications. My work centers on making complex models interpretable, deployable, and useful for real-world decision-making.
Before focusing on computational engineering and AI systems, I worked as an Exploration Geologist, building data-driven and 3D geospatial models for mining and natural resource projects. That experience taught me how to move from complex data and models to solutions that deliver real impact. My goal now is to leverage this combined background to build robust ML and AI systems for physical-world applications.