I’m a cognitive scientist and research developer working with VR environments, robots, and AI agents to explore human–AI teaming, decision making, and training.
I have a PhD in Cognitive Science and a background that blends experimental psychology, human–computer interaction, and hands-on development. Over the past several years I’ve built and supported research testbeds involving VR simulations, mobile and humanoid robots, and intelligent agents that interact with people in real time.
My work typically lives at the boundary between research and implementation: turning abstract research questions into concrete experiments, building the technical infrastructure to run them, and helping teams reason about what the results mean for real-world training and operations.
Recently, my work has focused on testbeds where people interact with intelligent systems under pressure: immersive crisis simulations, command-and-control style interfaces, and structured team tasks that reveal how humans calibrate trust and coordination.
A recurring theme is exploring how an AI or robot “teammate” should behave: when it should take initiative, when it should defer to humans, and how to make its capabilities and limitations legible to the people working with it.
A sample of systems I’ve helped design and build. Some demos and technical details are not publicly posted; I’m happy to share examples or walk through specifics in a brief call.
A brief selection below; a complete and up-to-date list is available in my CV. I’m happy to share copies or additional details on request.
I’ve mentored students and early-career researchers working on projects in VR, robotics, and human–AI interaction—often helping translate a broad idea into a concrete experimental design and technical plan.
I’ve also taught undergraduate courses in logic, ethics, and philosophy of cognitive science.
I’m open to conversations about: