Summary
Nicolas Skatchkovsky is a postdoctoral researcher with 10 years’ experience at the intersection of neuromorphic computing, Bayesian learning and edge intelligence, currently based at the Francis Crick Institute. He has designed and implemented Loihi-compatible spiking neural network algorithms that improved uncertainty quantification and continual learning while reducing memory footprint, and has translated research into applied benchmarks for satellite communications in collaboration with ESA and Intel. A proven collaborator and mentor, his work has appeared in NeurIPS, ICASSP and Frontiers in Neuroscience and contributed code to Intel’s Lava ecosystem. He combines rigorous academic training (PhD work funded by the ERC) with hands-on engineering across Python, PyTorch and neuromorphic frameworks, and has a track record of turning theory into efficient, deployable algorithms.
10 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng, Computer science and Digital Communications, Master of Engineering - MEng, Computer science and Digital Communications at CentraleSupélec
CPGE, Mathematics, Physics, CPGE, Mathematics, Physics at Lycée Blaise Pascal (Orsay)
English