Summary
Hugo Leclerc is a Senior Research Engineer with 14 years of experience at the intersection of high- and low-level programming and applied mathematics, currently applying optimal transport to modeling and PDEs at Laboratoire de Mathématiques d'Orsay. He has a strong track record of accelerating scientific code—most notably delivering a ~19x runtime and ~10x memory improvement for multi-resolution geometric operations—and building scalable distributed-memory frameworks. His background spans embedded systems, real-time multimedia, and the design of a P2P reactive database with non-blocking operational transforms, reflecting both systems-level rigor and research-grade numerical methods. Holder of a PhD in sintering and an engineering degree in acousto-opto-electronics, he combines automatic code generation, symbolic computing and high-performance solver design to turn mathematical ideas into production-ready software. An unconventional strength is his history of cross-domain optimization—from DSP assembly to GPU/CPU SIMD tuning—enabling practical performance gains across diverse platforms.
14 years of coding experience
14 years of employment as a software developer
M’ section, Mathematics, M’ section, Mathematics at Preparatory classes
Doctor of Philosophy (PhD), Theoretical, numerical and experimental studies on sintering, Doctor of Philosophy (PhD), Theoretical, numerical and experimental studies on sintering at UFC
Master of Engineering (M.Eng.), acousto-opto-electronic and structural mechanics, Master of Engineering (M.Eng.), acousto-opto-electronic and structural mechanics at ENSMM
French, English