Contact
I welcome conversations about research collaboration and mentorship, measurable learning, AI systems, school and institutional partnerships, and speaking.
Conversations
- Research mentorship and collaboration
- Systems neuroscience, EEG/BCI, computational modeling, and learning science
- Virtu Prep school pilots and institutional partnerships
- AI systems and technical product
- Writing, media, and speaking
Speaking & interviews
What counts as evidence of learning?
Distinguishing practice performance, independent capability, delayed mastery, and transfer.
AI that strengthens the learner
Designing guided practice and feedback so AI supports learning rather than replacing the learner's work.
Observation, inference, and responsible adaptive systems
Keeping measurements, model inferences, predictions, and validation claims visibly distinct.
Building AI systems around models
Connecting model interpretation to structured outputs, validation, authorized actions, evaluation, and human review.
Measuring delayed mastery and transfer
Why immediate assisted performance is different from later independent use of knowledge.
Merit, credentials, and opportunity
School choice, alternative credentials, and recognition of real ability.
Turning strategy into execution
Planning, decision-making, operating reviews, and coordination across teams with different priorities.