Technology Leader. Researcher. Problem Solver.
I work at the intersection of technology, project management, and human-AI interaction. My current doctoral research examines how IT project managers evaluate and act on AI-generated recommendations when outputs are incorrect, uncertain, or inconsistent with judgment.
Strategy, architecture, delivery, and coordination across complex technology initiatives.
Applied project management across infrastructure, security, operations, and enterprise technology.
Applied AI systems, decision support, automation, and responsible integration into working processes.
Research on how people evaluate, challenge, verify, and rely on AI-generated recommendations.
Doctoral research, scoping reviews, qualitative inquiry, mixed methods, and applied design research.
Analysis of AI, project management, technology leadership, HCI, and sociotechnical systems.
I spent some time playing with ChatGPT Astra and the Computer Use plugin this weekend. For this experiment, I asked ChatGPT to use a…
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Our relationship with AI is asymmetrical, but I don’t think asymmetry necessarily makes it meaningless.
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In a world increasingly obsessed with speed, strategic deceleration may be one of the most important leadership capabilities of the AI era.
Read article →My research examines how IT project managers calibrate trust and appropriate reliance when AI-generated recommendations are incorrect, uncertain, unsupported, or inconsistent with professional judgment.
The work focuses on observable decision behavior, including verification, modification, rejection, override, evidence seeking, and accountable escalation.
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