Summary
Adelchi Asta is a Senior Data Scientist with nine years of experience bridging theoretical physics and applied machine learning, currently working in Paris and recently leading data science initiatives in fintech and industrial R&D. He holds a PhD-level background in statistical physics and nanofluidics and has applied HPC and ML to optimize thin-film coating processes at Saint-Gobain and to build instant-granting algorithms at Younited. Adept at turning complex physical models into production-ready algorithms, he combines deep domain knowledge in fluid dynamics and materials science with practical experience in ML/AI deployment. He has taught university-level numerical methods and fluid mechanics, reflecting strong communication and mentoring skills alongside technical leadership. Notably, his career spans both academic research (CNRS/UPMC) and product-focused roles, giving him an uncommon fluency in translating experimental data into scalable ML solutions. He is now scaling data science efforts at Dessia Technologies after leading projects and teams as Lead Data Scientist and Project Manager.
9 years of coding experience
6 years of employment as a software developer
Lycée Chateaubriand de Rome
Master of Physics Physics, Master of Physics Physics at University of Lancashire
Baccalauréat à option Internationale (OIB), Baccalauréat à option Internationale (OIB) at Lycée International de Saint-Germain-en-Laye
Doctor of Philosophy (Ph.D.) Statistical Physics, Doctor of Philosophy (Ph.D.) Statistical Physics at Sorbonne Université
Research Master (level Master after Master) Fluid Dynamics, Research Master (level Master after Master) Fluid Dynamics at von Karman Institute for Fluid Dynamics
Master of Science (M.Sc.) Modern applications of Mathematics, Master of Science (M.Sc.) Modern applications of Mathematics at University of Bath
English, French, Italian, German, Spanish