I am a third-year PhD student in Computer Science at Stony Brook University, advised by Dr. Omar Chowdhury. My research lies at the intersection of formal methods, natural language processing, and machine learning, with a focus on building trustworthy AI systems through neural-symbolic reasoning.
Currently, I am developing agentic systems for automated compliance verification that translate natural language into formal logic (LTL, FOL) to check policy adherence across multiple regulations (HIPAA, GDPR, SOX, GLBA). My work bridges the gap between the flexibility of large language models and the precision of formal verification.
Prior to Stony Brook, I completed my M.Sc. in Computer Science at the University of New Brunswick under Dr. Ali Ghorbani, where I worked on machine learning for IoT device profiling and intrusion detection.
I am actively seeking Research Scientist Internship opportunities for Summer 2026 in areas related to formal verification, privacy compliance, security, and trustworthy AI.
GitHub →
An autonomous agent that translates natural language policy queries into formal logic and verifies compliance across HIPAA, GDPR, SOX, and GLBA regulations.

Features:
Tech Stack: Python, OCaml, GPT-4/Claude, Formal Logic, Agentic Reasoning
Teaching Assistant, Stony Brook University:
Interested in collaborating? Feel free to reach out via email!