Research Direction · Applied Systems
Researching what remains useful under disruption.
My work explores the intersection of resilient communications, cyber-physical security, responsible AI, and human decision-making in environments where conventional systems cannot be taken for granted.
Forensic cyberpsychology, AI, and human judgment.
I hold a BS and MS in Cybersecurity and Information Assurance and am completing an MS in Computer Science with an AI/ML concentration. My research interests sit at the intersection of cybersecurity, autonomous systems, human decision-making, and adversarial environments. I am considering doctoral study in forensic cyberpsychology at Capitol Technology University to deepen that work.
I am especially interested in AI as constrained decision support: useful for organizing information, surfacing patterns, or testing hypotheses while remaining auditable, bounded, and subordinate to human authority.
Project MESH
Project MESH is an applied research demonstrator through WeanTech LLC asking whether minimally trained responders can establish a secure, local communications network for a small incident area in 15 minutes or less without commercial Internet or cellular service — and keep it useful as nodes join, move, or fail.
The initial objective is deliberately modest: integrate mature components into a secure, rapidly deployable field kit; test its limits; document what worked and what failed. It is prototype research, not a certified public-safety system.
Two questions that organize the work.
Resilient Operations
How can organizations retain useful capability when connectivity, cloud services, identity systems, or key vendors fail?
Human-Controlled Decision Support
How can AI-assisted information help an operator under uncertainty without displacing accountability or judgment?
Project ARENA
ARENA explores how autonomous AI agents behave when environments are dynamic, partially observable, and actively respond to the agent’s behavior. The central question is whether an agent can maintain situational awareness, pursue a long-horizon objective, adapt to an adversary, and recover from failure.
The work begins in controlled environments rather than operational systems. The goal is reproducible evaluation of perception, memory, planning, tool use, adaptation, and recovery — not a claim of autonomous cybersecurity capability.