Summary
Curtis Ogle is a Research and Development Engineer with 12 years of experience applying machine learning and scientific computing to real-world problems, currently building R&D products at GeoVisual Analytics from Fruita, Colorado. He holds a Ph.D. in Physics and a BS in Physics and Mathematics, and has a track record of turning academic research—stochastic simulation, microfluidics, and time-dependent disease-risk modeling—into production-ready software. At Digital Reasoning he helped scale speech recognition pipelines using PyTorch, and earlier work includes developing cluster-ready simulation and experiment control tools that supported multiple peer-reviewed publications. Curtis combines deep quantitative training with practical engineering, comfortable moving models from grant-funded research into robust, scalable systems. An underappreciated strength is his experience teaching and mentoring in lab and classroom settings, which helps him communicate complex ideas clearly across technical and non-technical stakeholders.
12 years of coding experience
7 years of employment as a software developer
Virginia Tech