About me
I am an MS student at Northeastern University's Khoury College of Computer Sciences, interested in machine learning systems, safe AI, and efficient deep learning. I am actively seeking PhD positions for Fall 2027.
Previously, I conducted hardware security research at the University of Florida, developing privacy-preserving frameworks for electronic design automation and side-channel defenses for neural network inference on FPGAs. Before that, I worked in silicon verification at Texas Instruments and Microsoft.
Research interests
I’m interested in multi-agent systems: how agents learn, coordinate, and fail, and how to make them robust, reliable, and safe.
Multi‑Agent Learning & Coordination
How teams of learning agents cooperate, compete, and coordinate under partial information, in multi-agent RL and LLM agent systems.
Fault Detection & Forecasting
Detecting errors early and forecasting how they spread through a team of agents, so systems can recover before one agent’s mistake becomes a team failure.
Safe & Secure Agent Systems
Keeping agent systems safe and secure, from guarantees in safety-critical settings to agents that act on people’s behalf and keep them in control.