Summary
Bruno Jacob is a Lead AI Researcher with a PhD in Computational Science and Engineering and six years of industry and national-lab experience building ML-driven scientific and commercial systems. He has led R&D and data science teams to productionize transformers and large-scale inference for insurance risk, and as a staff scientist at PNNL designed memory-efficient physics-informed neural architectures, neural operators, and generative AI agents for enzyme and catalyst design. His background in stabilizing stochastic Lagrangian numerical methods and coupling spatial diffusion gives him a rare combination of deep numerical analysis and modern ML architecture expertise. Comfortable moving models from theory to terabyte-scale deployment, he also works on uncertainty quantification, multi-fidelity learning, and ML-accelerated preconditioners for classical solvers. Based in Santa Barbara, he blends hands-on scientific software development across languages and HPC with strategic leadership in applied AI.
6 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Science and Engineering, Doctor of Philosophy (PhD), Computational Science and Engineering at UC Santa Barbara
Master of Science (M.Sc.), Engineering, Master of Science (M.Sc.), Engineering at Universidade Federal de Uberlândia - UFU
Bachelor of Engineering (BEng), Mechanical Engineering, Bachelor of Engineering (BEng), Mechanical Engineering at University of Illinois Urbana-Champaign
English, Portuguese, Spanish