Vincent Lanore is an ingénieur numéricien with nine years of experience bridging research and production software in high-performance computing and bioinformatics. He holds a PhD from ENS Lyon and has combined academic research—proposing programming models for high-performance Bayesian inference and improving genomic convergence detection—with engineering roles at Inria, CNRS and Vidium Solutions. Vincent specializes in benchmarking and hardware-sizing for HPC applications (notably in radio astronomy for the SKA project) and in software architecture and integration for scientific workflows. Now at MDBat, he continues to apply reconfigurable component models and performance-oriented programming to real-world systems. Colleagues value him for translating deep algorithmic insight into practical, scalable implementations across heterogeneous compute stacks.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Ecole normale supérieure de Lyon
Contributions:223 commits, 198 pushes, 6 branches in 2 years 3 months
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