Summary
Matteo Paltenghi is a research scientist blending a decade of experience in software engineering, AI, and quantum computing, currently working on AI for Software Engineering at Meta. He holds a PhD from the University of Stuttgart focused on improving the reliability of the quantum software stack and has published at top venues like ICSE and OOPSLA. Matteo’s background spans industry and research—roles at GitHub, CERN, and Meta where he applied explainable AI to models of code and built an anomaly detection system with 92% AUC-ROC. He combines strong academic training (Politecnico di Milano, EIT Digital, TU Berlin) with practical product-facing research, including user studies with eye-tracking for developer tooling. Based in Munich, he brings a rare mix of empirical evaluation, prototype delivery, and community leadership (EIT ambassador program) that repeatedly turns research insights into usable developer tools. An understated strength is his track record of translating complex AI and quantum research into validated prototypes and measurable outcomes.
10 years of coding experience
5 years of employment as a software developer
EIT Digital Summer School Healthy Lifestyle and Behavioral Change, EIT Digital Summer School Healthy Lifestyle and Behavioral Change at Eindhoven University of Technology
Master of Science - MS ICT Innovation - Data Science, Master of Science - MS ICT Innovation - Data Science at Technische Universität Berlin
Master of Science - MS Computer Science Engineering, Master of Science - MS Computer Science Engineering at Politecnico di Milano
Master's Double Degree Data Science, Master's Double Degree Data Science at EIT Digital Alumni
Liceo Scientifico Lorenzo Federici