I am an Associate Professor in the Software Engineering Research Group (SERG) at Delft University of Technology (TU Delft) in the Netherlands. Within SERG, I lead the Computation Intelligence for Software Engineering Lab (CISELab), where my research focuses on software testing, search-based software engineering, AI for software engineering, software testing for AI-enabled systems, and empirical software engineering.

I serve as the track lead for “Testing for and with AI” within AI4SE, TU Delft’s ICAI lab on AI for Software Engineering, funded by JetBrains. I am also involved in the FUSE Lab, a collaborative research initiative co-sponsored by Meta’s DevInfra team and TU Delft, focusing on the reliability, testing, and evolution of modern software systems. In addition, I am the principal investigator of the UBRI program at TU Delft. My research has been supported by national and international funding programs, including the European Commission’s Horizon 2020 projects on test amplification (STAMP) and testing for cyber-physical systems (COSMOS).

I have co-authored more than 130 peer-reviewed publications in leading software engineering and evolutionary computation journals and conferences. My research has contributed to advances in automated software testing, search-based software engineering, software quality assurance, and the engineering and testing of AI-enabled systems. I am grateful to have received the Most Influential Paper Awards at SANER 2024 and ICST 2025, as well as Best Paper Awards at ICPC, SBFT, and SSBSE.

I actively contribute to the software engineering research community through service in major conferences and journals. I regularly serve on program committees of leading conferences, including ICSE, ESEC/FSE, ASE, ISSTA, ICST, and GECCO, and review for journals such as IEEE Transactions on Software Engineering (TSE), ACM Transactions on Software Engineering and Methodology (TOSEM), Empirical Software Engineering (EMSE), IEEE Transactions on Evolutionary Computation (TEVC), and Software Testing, Verification and Reliability (STVR).