About

I am a Research Scientist at Meta, working on agentic coding research. I hold a PhD in Computer Science from the University of Stuttgart, part of TU9 (the alliance of leading Technical Universities in Germany), where I was advised by Prof. Dr. Michael Pradel. My main research focus is software engineering for AI-powered coding agents, and I remain interested in quantum computing, in particular the reliability of the quantum software stack.

Experience

My Ph.D. research also benefits from previous complementary experiences as a summer research intern at Meta in the Core AI team, a summer research intern at GitHub Next in the GitHub Copilot team, where I applied Explainable AI to code exploration, and as a research intern at CERN, before my Ph.D., where I developed a cloud anomaly detection system at CERN Cloud Team. I completed my Double M.Sc. in Computer Science Engineering (specialization in Data Science) at Politecnico di Milano and Technical University of Berlin as a part of EIT Digital Master School. I am naturally curious and I love to face challenging situations that make me grow.

Thanks

During my career, I had the privilege to work and learn with great researchers, listed in reverse chronological order:

• Ph.D. Satish Chandra, currently at Meta.
• Prof. Dr. Michael Pradel during my Ph.D. at University of Stuttgart.
• Ph.D. Ernie Chang during my stay at Meta.
• Ph.D. Albert Ziegler during my stay at GitHub Next.
• Ph.D. Domenico Giordano during my stay at CERN.
• Prof. Ph.D. Giacomo Borachi and Dr. Lukas Ruff during my Master Thesis

Five years from now

My long-term objective is to convert innovative research results into products to assist software engineers in their work. In fact, in my spare time I love to reason on business plan ideas, stay informed about start-ups and participate in hackathons.

Passions for gender topics

I am also a big fan of gender equality topics and for this reason I volunteer as Local Leader Manager at Women@EIT.

I would love to see a world where our future daughters could feel in the right place even in an engineering class.

CV and Resume are shared upon request.

Bio in 3rd Person

Suggested for conference or invited talks.

Matteo Paltenghi is a computer science researcher (PhD, University of Stuttgart) with expertise at the intersection of artificial intelligence and software engineering. His research spans software engineering, AI, and quantum computing, with presentations at top venues including ASE, OOPSLA, ICSE, FSE, EMNLP, and ISSTA. Prior to this, he spend 9 months at CERN for his Master Thesis on anomaly detection on data center. Matteo holds a double degree M.Sc. Computer Science and Engineering from Politecnico di Milano and TU Berlin, proceeded by a B.Sc. from Politecnico di Milano. He recently started serving as reviewer (TOSEM, JSSoftware) and as session chair at MSR 23. Recently, he was also one of the few young researchers selected for participation in the Heidelberg Laureate Forum (HLF 23).