My research interests are Responsible AI and ML safety. I work on developing explanations for ML systems, analyzing them to identify vulnerabilities, and finding solutions to mitigate these issues. My UNDREAM system offers a way to bridge differentiable rendering and photorealistic simulation for end-to-end adversarial attacks, thus enabling better transferability of attacks to the physical world. My work includes VISOR and VISOR++ which create a universal, transferable steering image that can steer architecturally diverse models without requiring access to their internal model parameters at runtime.

I am a PhD student at Georgia Tech advised by Polo Chau as a part of the Polo Club of Data Science.

I have collaborated with designers, developers, and scientists at IBM, HiddenLayer, Intel Labs, and Nanyang Technological University