I am a PhD student in the Software Technology Group, currently working on Code Intelligence Models, Deep Learning, and Vulnerability Detection. Within my work, I aim to improve code-models by designing architectures that combine the long-range modeling capacity of state space models with the reasoning capabilities of transformer-based approaches. A key part of my research addresses secure and generative modeling, applying generative code models to detect and reason about vulnerabilities in source code while ensuring these systems remain robust. I am also interested in mechanistic interpretability, and in integrating reinforcement learning and other complementary modeling approaches to build more transparent, reliable, and secure software systems.

Publications