Academic Path · Behavioral Interests
My research focus is shifting from purely technical detection to the behavioral precursors of cyber risk and insider threats.
I am in the final stages of my Master’s at WGU. My work focuses on how machine learning can be applied to behavioral anomaly detection—identifying shifts in system usage that suggest a human element is deviating from the norm.
I am deeply interested in the psychological escalation patterns that precede security incidents. Rather than just catching a breach after it happens, I am exploring how to identify organizational strain and behavioral drift earlier in the timeline.
To ground this, I am considering returning to WGU to pursue a BS in Psychology to provide a formal framework for my interests in forensic cyberpsychology.
Identifying the gap between authorized access and actual operational behavior.
Understanding the decision-making process of an attacker to build better defensive friction.