Goran Stipcich
Lead Data Scientist
Bilbao, Autonomous Community of the Basque Country, Spain
Summary
👤
Senior🎓
Top SchoolGoran Stipcich is a Lead Data Scientist based in Bilbao with a Ph.D. in Computational and Applied Mathematics and over a decade of R&D experience bridging numerical simulation and machine learning. He specializes in privacy-preserving ML and security-focused productization, having led development and deployment of differential privacy and federated learning tools for AdTech and recommendation systems. His background in high-order CFD algorithms and industrial simulation gives him a rigorous numerical foundation that he applies to robust, production-ready ML solutions. At Sherpa.ai he drove multi-armed bandit optimization and was a core developer of their federated learning framework, and he now leads privacy-preserving software efforts at Resolve. Colleagues value his ability to translate advanced research into scalable, auditable systems that meet industry constraints.
8 years of coding experience
9 years of employment as a software developer
Ph.D, Computational and Applied Mathematics, Ph.D, Computational and Applied Mathematics at Università degli Studi di Trieste / University of TriesteMaster of Science (MSc), Civil and Environmental Engineering, 108/110, Master of Science (MSc), Civil and Environmental Engineering, 108/110 at Università degli Studi di Trieste
Spanish, Italian, French, English, Croatian
Github Skills (4)
federated-learning5
deep-learning5
machine-learning5
federated3
Programming languages (1)
Github contributions (5)
gstipcich/CFD_Short_Course
Dec 2017 - Dec 2017
Contributions:15 commits, 14 pushes, 1 branch in 1 day
sherpaai/Sherpa.ai-Federated-Learning-Framework
Jul 2020 - Jul 2021
Sherpa.ai Federated Learning Framework
Contributions:4 reviews, 7 PRs, 58 pushes in 1 year
deep-learningsherpafederated-learning-frameworkmachine-learningframework-learning
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