Summary
Olmo Zavala-romero is an Assistant Professor in Scientific Computing at Florida State University with 13 years of experience applying machine learning to oceanographic data assimilation and to medical imaging problems such as automated cancer detection from multi-parametric MRI. He combines a strong computational background—GPU-accelerated level-set methods with OpenCL/OpenGL and WebGIS development—with a track record of translating research into practical tools like the open-source OWGIS web visualization platform. His interdisciplinary career spans academia and industry, including roles at UNAM, University of Miami’s Sylvester Comprehensive Cancer Center, and data science work at RMS, demonstrating fluency in geospatial systems, satellite-to-subsurface inference, and genomics-informed imaging. Known for shipping reproducible research and software, he blends deep technical implementation skills with domain-driven, application-focused science.
13 years of coding experience
9 years of employment as a software developer
Master's degree, Computational Science, Master's degree, Computational Science at Florida State University
Master's degree, Computer Science, Master's degree, Computer Science at Instituto Nacional de Astrofisica, Optica y Electronica
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Instituto Tecnológico y de Estudios Superiores de Monterrey
Spanish, English