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I turn ill-defined, high-stakes problems into things you can measure. Two decades of it: search-and-rescue robots, the DARPA Robotics Challenge, and now trustworthy AI in critical infrastructure. Bridging the disciplines, solving problems, and getting to "Yes" responsibly.
My work advances the safe, responsible, effective, appropriate, ethical, transparent, and defensible adoption of AI, data science, and intelligent systems.
I lead development of the profile that guides the sixteen critical infrastructure sectors on adopting AI responsibly: deterministic behavior, explainability, graceful degradation, fail-safe operation, and adversarial robustness. Written to be meaningful and technically actionable, not shelf-ware.
Developed in the open, through a Community of Interest, because guidance like this has to be built with the people who will use it.
Trustee of RoboCup, the global grand challenge aiming a team of robots at the human World Cup champions by 2050.
Every project is the same premise: trust has to be measured, not asserted.
Explainable AI, response robotics, and the publications behind them.
Open-source robot kits, high-school competitions, and public science communication.
From Perth and RoboCup Rescue to NIST and Johns Hopkins.
For hard problems at the frontier of the field.