Independent scholar and practitioner working on cognition, AI, and security in complex systems.

I am interested in how people think, learn, and make decisions inside complex technical systems, especially when those systems are shaped by artificial intelligence or security constraints.

My work spans AI security, cybersecurity, education, and human cognition, and it has always been driven by the gap between how systems are designed in theory and how they are experienced in practice. I pay close attention to how tools, policies, and organizational incentives shape judgment, often in subtle ways that prioritize speed, output, or compliance while obscuring understanding and adaptability.

Much of my recent scholarly work focuses on AI literacy and human–AI interaction. I examine why the same AI systems can support insight and learning for some individuals while creating confusion or disengagement for others. Questions of metacognition, cognitive modes of engagement, and neurodiversity permeate this work, not as abstract concerns, but as practical explanations for the uneven outcomes in education and professional settings. I share this research through journals, conference talks, and other peer-reviewed venues.

Alongside my academic work, I advise organizations on AI security, adversarial risk, and cybersecurity strategy, drawing on my background in offensive security, security engineering, and enterprise risk management.

Whether I am researching, teaching, or consulting, the underlying question remains the same: how do we design systems that support sound thinking under pressure, rather than simply accelerating output or automation?

Below are links to my research, writing, talks, and teaching for those who want to explore further.