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Priscilla Kyei Danso

PhD Student Computer Science
Stony Brook University
New York

pdanso (at) cs.stonybrook.edu


About Me

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.

Research Interests

Seeking Summer 2026 Research Internship Opportunities

I am actively seeking Research Scientist Internship opportunities for Summer 2026 in areas related to formal verification, privacy compliance, security, and trustworthy AI.

News

Currently working on

An Agentic Policy Compliance System

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

Honors & Awards

Teaching

Teaching Assistant, Stony Brook University:


Interested in collaborating? Feel free to reach out via email!