Let us build technical work worth doing.

Co-authorship, reproducible experiments, model evaluation, quantization and work at the intersection of machine learning, digital systems and medical AI.

Conversations about visiting positions, research roles, working groups and projects where efficient or hardware-aware AI is central to the problem.

Talks, panels and technical workshops on efficient AI, reproducibility, quantization, digital systems and tools for augmented research.

Courses, invited sessions and materials for academic or technical teams that need to connect fundamentals, implementation and rigorous evaluation.

I take on a limited number of applied engagements when the problem is well defined, the necessary context is available and expectations around evidence, scope and outcomes are realistic.