Understand the work
Listen, ask questions, and see how the process actually operates.
People × Process × Data × Technology
I work where people, process, data, and technology meet — helping organizations make work easier to learn, use, measure, and improve.
A practical approach
Listen, ask questions, and see how the process actually operates.
Improve processes, documentation, tools, data, and handoffs.
Design around the people who actually have to use the system.
Use evidence to determine whether the change actually worked.
Featured work
Public Sector
Improving ownership, visibility, and follow-through in shared workflows while working within real institutional and technology constraints.
Active work · case study developing
AI + Data
An ongoing experiment in model comparison, calibration, data integrity, automation, and honest evaluation.
View case study (PDF)
Clearer systems.
Better paths through complex work.
From the lab
Chalk is my ongoing exploration of what happens when multiple AI models are asked to make probabilistic forecasts under controlled conditions — and then held accountable to the results.
Compare models
Evaluate honestly
Automate where it helps
Share what I learn
About
My background spans technology, education, and public service. The common thread has been learning unfamiliar systems, explaining them clearly, and improving how people work inside them.
Today I’m increasingly focused on workflow, data, automation, practical AI adoption, and the human side of implementation.