Summary
Fabrizio Damicelli is a Senior Data Scientist based in Hamburg with 8 years of experience bridging computational neuroscience research and production ML systems. After a PhD in Computational Neuroscience, he transitioned to industry where he has designed and deployed real-time neural-network-based fraud detection pipelines at OTTO using PyTorch, TorchServe, FastAPI, Docker and Google Cloud Platform. He combines deep expertise in dynamical systems and network neuroscience with practical skills in containerized training, MLOps and Terraform to move models from research to scalable production. Known for integrating biologically inspired modeling insights into applied ML, he brings a researcher's rigor to engineering robust, low-latency systems for high-volume data environments.
7 years of coding experience
3 years of employment as a software developer
Licentiate degree Biology General, Licentiate degree Biology General at Universidad Nacional de C贸rdoba
Introduction to Statistical Learning Machine Learning, Introduction to Statistical Learning Machine Learning at edX
Introduction to Dynamical Systems and Chaos, Introduction to Dynamical Systems and Chaos at Complexity Explorer, Santa Fe Institute
6.00.2x Introduction to Computational Thinking and Data Science, 6.00.2x Introduction to Computational Thinking and Data Science at MITx Courses
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Hamburg
Write Pythonic Code Like a Seasoned Developer, Write Pythonic Code Like a Seasoned Developer at TalkPython - Michael Kennedy
English, German, Spanish