
Research Intern at Mila, previously MSc at ETH Zürich. I focus on red-teaming and model auditing to uncover AI vulnerabilities and improve robustness, security, and responsible deployment.
I'm particularly interested in red-teaming and model auditing as proactive techniques to uncover existing models' vulnerabilities. I aim to assess and expose flaws and inconsistencies, both in performance and security, to increase robustness and reliability towards distribution shifts, adversarial inputs, and unintended behaviors.
I believe this step is crucial for a responsible and ethical deployment of AI.
Education and professional experience.
Research on local precision auditing of machine unlearning methods.
Focus on machine learning, AI safety, and robustness. Thesis on privacy auditing of DP-SGD.
Research on Differential Privacy Auditing, under Prof. Zhiwei Steven Wu.
Exchange semester in Electrical and Computer Engineering.
Undergraduate studies in computer engineering with focus on systems and software development.
Selected research publications.
Feel free to reach out for collaborations or questions.