LLM-Based Binary Similarity Research
Investigating whether large language models can evaluate similarity between binaries using HLIL generated from Binary Ninja.
I recently graduated summa cum laude with a B.S. in Computer Science from the University of Oklahoma. This fall, I will begin an M.S. in Cybersecurity Engineering at Auburn University. War Eagle!
My work explores how intelligent systems can be evaluated, secured, and safely deployed within complex technical environments, with interests spanning machine learning security, autonomous systems, and resilient cyber infrastructure, especially as these systems become increasingly embedded in everyday life.
Investigating whether large language models can evaluate similarity between binaries using HLIL generated from Binary Ninja.
Developed a secure messaging prototype pairing encrypted socket transport with peer authentication, key exchange, and plaintext-versus-ciphertext analysis.
Built a Splunk-based SOC homelab with Kali Linux, a Windows endpoint, Sysmon telemetry, and Universal Forwarder log collection to simulate attacks and investigate resulting evidence.
My large-scale leadership roles and extracurricular experiences helped develop my strongest soft skills in leadership and communication, as well as my people-first mindset.