I started as a Postdoctoral Research Fellow at the Vector Institute in October 2023, with a joint appointment at the University of Toronto. I am advised by Nicolas Papernot and Shai Ben-David, and work on the theoretical foundations of trustworthy machine learning.

Previously, I obtained a DPhil (PhD) at the University of Oxford under the supervision of James Worrell, Varun Kanade and Marta Kwiatkowska. My thesis studied the sample complexity of robust learning under evasion (test-time) attacks.

I obtained my masters at McGill University's Reasoning and Learning Lab and was supervised by Prakash Panangaden and Doina Precup. My thesis focused on quantifying the behavioural distance between systems.

For more information, you can have a look at my research and my CV.