Summary
Gordon Erlebacher is a professor of Scientific Computing at Florida State University with a strong foundation in plasma physics (MS, Free University of Brussels; PhD, Columbia) and over two decades leading research and education in numerical simulation, algorithm development, and high-performance computing. His career spans NASA and ICASE work on compressible transition and turbulence on large-scale parallel supercomputers to pioneering a university department dedicated to scientific computing. In recent years he pivoted into neuroscience and deep learning—progressing from bag-of-words and topic models to large language models—while maintaining active work on radial basis function algorithms, GPU and co-processor computing, and educational game design. He combines rigorous theoretical insight with practical implementation experience, training students for industry, national labs, and academia. An enduring theme in his work is translating advanced numerical methods into accessible tools for scientific machine learning and pedagogy.
15 years of coding experience
Master of Science (M.S.), Plasma and HighTemperature Physics, Master of Science (M.S.), Plasma and HighTemperature Physics at Free University Brussels
Columbia University in the City of New York
English, French, Spanish