About me

I am a PhD student at NYU, advised by Prof. Danny Huang. I am also fortunate to get guidance from Prof. Jessica Staddon, and Prof. Rahul Chatterjee in various capacity.

Research interests

My research focuses on responsible and human-centered AI, where I reduce end-user security, privacy, and safety risks in LLMs, with particular attention to vulnerable users such as individuals experiencing technology-facilitated intimate partner abuse (TFIPA). I use empirical methods to uncover risks in generative AI applications, and design interventions that address these failures. My work contributes to safer AI systems and offers evidence-based insights for policy and practice.

Future research directions
 - Algorthmic auditing of “social AI” (use of generative AI in social networks) from safety and security point of view to measure its societal impact.
 - Emperical measurements in security, privacy, and safety, as well as human-centered studies.
 - Emperical evaluuation of LLMs for diverse group of end-users, such as consumers, developers, and at-risk population.

Recent Updates

• December 2025, presented my work Learned, Lagged, LLM-splained: LLM Responses to End User Security Questions at ACSAC 2025.
• December 2025, presented my work Experimental Aspects of Evaluation of LLM Responses to End-user Security Questions in the LASER workshop cohosted at ACSAC.
• November 2025, gave talk at Cornell-Tech security seminar about my work on evaluation of LLMs ability to help TFA surviors with their technology questions and end-users with security questions.