Hello, I'm
Scientist · Innovator · Engineer
Great Minds Fellow at the University of St. Gallen, working at the intersection of Artificial Intelligence, Software Security, and Technology Innovation.
A computer scientist with a passion for building technology that matters — bridging cutting-edge research with real-world impact.
Luca Di Grazia holds a Great Minds Fellowship at the University of St. Gallen in Switzerland, focusing on the security of AI-generated code, hosted by Prof. Dr. Guido Salvaneschi. Previously, he was a Postdoctoral Researcher at USI Lugano, working on GenAI for software testing and verification under Prof. Dr. Mauro Pezzè.
He earned his Ph.D. in Computer Science (summa cum laude) from the University of Stuttgart, supervised by Prof. Dr. Michael Pradel. His dissertation explored innovative approaches to software maintenance through search and predictions.
During a Research Internship at Uber in Amsterdam, he developed a GenAI-based bug-fixing approach that won an internal competition against 103 teams, with results presented directly to the Uber CEO.
Politecnico di Torino, Italy 
University of Stuttgart, Germany 
Uber, Amsterdam, Netherlands 
USI Lugano, Switzerland 
University of St. Gallen, Switzerland
Awarded 189,747 CHF (~$230,000) by the University of St. Gallen as Principal Investigator for the project "Secure Software in the Age of Massively GenAI-Generated Code."
Won the Uber global GenAI competition among 103 teams, presenting the winning solution to the CEO and Executive Leadership Team.
Received the ACM SIGSOFT Distinguished Paper Award at ESEC/FSE 2022, one of the top venues in software engineering research.
ICSE 2026
E-Test leverages LLMs to identify untested execution scenarios and augments test suites accordingly, achieving an F1-score of 0.54 vs. 0.39 for vanilla LLMs.
ASE 2025
An empirical study using 13,866 unbiased test oracles from 135 Java projects to evaluate LLM effectiveness in generating test oracles.
TOSEM 2025
Envisioning HyperAssistant, an AI tool for 2030 developers. Featured in The Register and Swiss IT Magazine.
ICSE 2024
An automated technique that resolves 85.4% of Python type errors using cross-lingual transfer learning, with high acceptance on GitHub PRs.
ECOOP 2024
A standardized methodology for sampling and studying repositories, emphasizing reproducibility and avoiding unreliable metrics.
ACM CSUR 2023
A comprehensive overview of 30 years of research on code search: query processing, indexing, retrieval, and ranking techniques.
ESEC/FSE 2022 · Distinguished Paper Award
Analyzing 1.4M type annotation changes from 9,655 Python repositories. ACM SIGSOFT Distinguished Paper Award winner.
IEEE TSE 2022
A search engine retrieving relevant examples from millions of code changes within seconds. 2nd prize at ICSE SRC 2022.
Invited to serve as junior editor for the prestigious IEEE Transactions on Software Engineering (TSE) journal.
ICSE 2026! Our paper "E-Test: E'er-Improving Test Suites" has been accepted at ICSE 2026 in Brazil.
Presented our ASE 2025 paper at University College London, invited by Prof. Federica Sarro.
Taught a course (1 ECTS) on AI for Data Analysis at Bern University of Applied Sciences.
Starting a Great Minds Fellowship (~$230,000) at University of St. Gallen, hosted by Prof. Dr. Guido Salvaneschi.
ASE 2025! Paper on LLM-generated test oracles accepted at ASE 2025 in South Korea.
Ketai Qiu (PhD I co-supervise) won the ACM Student Research Competition at FSE 2025!
Our paper on "Devs in 2030" featured in The Register and Swiss IT Magazine.
Attended the Dagstuhl Seminar on Code Search.
Successfully defended my PhD (summa cum laude) and joined USI advised by Prof. Mauro Pezzè.
ICSE 2024! "PyTy: Repairing Static Type Errors in Python" accepted at ICSE 2024 in Portugal.
Won the Uber GenAI competition among 103 teams worldwide.
Torstrasse 25
9000 St. Gallen
Switzerland