Leading research on adversarial robustness and bias mitigation in Enterprise Retrieval-Augmented Generation (RAG) pipelines under Dr. Dmitry Zhdanov.

• Designed and evaluated machine learning classifiers to detect malicious injected chunks in RAG ingestion pipelines.
• Co-authored research findings accepted and presented at BizAI 2026 and the 2026 CAE in Cybersecurity National Symposium.
• Collaborated with faculty and government sponsors under the NSA/DHS-affiliated INSuRE+E cybersecurity research consortium.

Investigated Internet-scale routing security protocols through topology graph simulations under Dr. Burk Gulmezoglu.

• Simulated deployment mechanics of ROV++ and RPKI Route Origin Validation using BGPy and NetworkX across real AS topologies.
• Evaluated attack mitigation rates against prefix hijacking and route leak vectors under partial ISP adoption scenarios.
• Published and presented peer-reviewed research poster at the 2024 CAE-R Research Symposium.

Mentored 300+ students across Computer Science and Mathematics courses.

• Supported instruction for CS 115 (Intro to CS), CS 284 (Data Structures & Algorithms), and MA 331 (Intermediate Statistics).
• Held weekly lab sessions and office hours, providing code reviews, debugging guidance, and algorithmic problem-solving strategies.
• Graded programming assignments, algorithm proofs, and exams with consistent grading rubrics and actionable student feedback.

Studied longevity and decay dynamics of complex multiplayer game ecosystems under Dr. Jingyi Sun.

• Engineered a parallelized web scraper in Python to extract longitudinal behavioral datasets from Eve Online community forums.
• Conducted statistical and qualitative network analyses in R to model attrition triggers and community collapse patterns.