Joint Research
I’m interested in researching AI security, privacy, and fairness to better understand how machine learning systems can be misused or pushed outside their intended behavior in practice. I’m very open to cross-disciplinary collaboration, and I’m always glad to work with people approaching these questions from different angles.
Consulting
I work with teams to analyze and clarify security and privacy risks in machine learning systems. This often includes refining threat models, stress-testing existing defenses, and identifying where assumptions break down under real-world constraints.
Mentoring
I enjoy chatting with students and early-career researchers about research direction and career choices. In the past I’ve especially enjoyed conversations with students from my alma mater, LUMS, or those considering paths in ML security and privacy.
Reaching Out
If any of this resonates, feel free to reach out by email. A short note with a bit of context is more than enough.