Worked on privacy-preserving machine learning, federated learning, and the relationship between differential privacy and adversarial robustness.

Owns safety evaluations for integrity LLMs, including automated red-teaming and robustness suites, user-experience metrics, and targeted evaluations and mitigations for emerging attacker patterns.

Worked on differentially private federated learning algorithms for sparse basis recovery in high-dimensional settings.

Designed machine-learning methods and a statistical-power modeling engine for automated parameter-space exploration, statistical power estimation, and privacy-preserving social-science research.

Designed and deployed a production stack for federated semi-supervised learning vision tasks and replicated FixMatch and SimCLR benchmarks on real devices.

Mentored students and undergraduate teaching assistants for ECE20002, Electrical Engineering Fundamentals II, and ECE27000, Introduction to Digital Design.

Conducted research in the Networked Wireless Systems Laboratory with Bheemarjuna Reddy and Antony Franklin.

Completed research internship work in the Esaki Lab with Prof. Hideya Ochiai and Prof. Hiroshi Esaki.