Summary
Belhal Karimi is a Principal Data Scientist with a decade of experience bridging cutting-edge ML research and product-grade engineering, currently leading data science at Nike. He combines a PhD in Applied Mathematics from École Polytechnique and research tenures at INRIA, MIT, and Baidu with hands-on work in diffusion-based image generation and federated learning. At startups and as an advisor he has shipped real-world deep learning systems for video search, automatic trailers, and car damage inspection, and recently led fine-tuning pipelines for SDXL/SD3 at a YC-backed startup. Comfortable moving between theory and applied systems, he publishes in top venues and maintains open-source tools for biostatistics and probabilistic modeling, reflecting a rare mix of academic rigor and product focus. Based in Beaverton, OR, he favors scalable ML solutions that translate advanced probabilistic and optimization techniques into measurable business impact.
10 years of coding experience
10 years of employment as a software developer
Computer Science & Electrical Engineering, Computer Science & Electrical Engineering at CentraleSupélec
PCSI - PSI*, PCSI - PSI* at Lycée Hoche de Versailles
Lycée Blaise Pascal
Visiting Scholar, Brain and Cognitive Sciences Department, Visiting Scholar, Brain and Cognitive Sciences Department at Massachusetts Institute of Technology
Master's degree, Corporate Finance and Economics, Master's degree, Corporate Finance and Economics at ESCP Business School
Doctor of Philosophy - Ph.D., Applied Mathematics, Doctor of Philosophy - Ph.D., Applied Mathematics at École Polytechnique
Higher Diploma in Research and Innovation, Applied Mathematics and Cognitive Engineering, Higher Diploma in Research and Innovation, Applied Mathematics and Cognitive Engineering at PSL - ITI
French, English, Spanish, German, Persian