Bill & Melinda Gates Foundation, via Alithi / Higher education / 2025–
Lucy, a strategy advisor for postsecondary transformation
College and university leaders mostly know what works —
course redesign, proactive advising, credit mobility. What they don't have is a way to
figure out which of it applies to their institution, at their stage, with their data.
Lucy is the multi‑agent system that closes that gap.
It matches an institution against 7,000+ NCES records
— Carnegie class, HBCU and Tribal designation — infers where that institution sits on a
five‑stage transformation journey from behavioral signals, and returns only the research
that fits, written to the reader's role and target population. Built on Google ADK and
Azure OpenAI over an A2A protocol, and delivered as a public good.
Multi‑agentGoogle ADKPublic good
Health Universe × i‑Cubed / Clinical trials / 2024–2026
Project LOOM
A documentation system that drafts a trial's entire document set as
one coherent body of work: protocol, manual of procedures, safety plan, even patient
recruitment materials. Nothing gets invented, and nothing drifts — edit one document and
it surfaces every place that change contradicts the others. Cross‑document consistency is
the hard problem here; generating any single document is not.
An i‑Cubed Center initiative, built with engineering support from
Health Universe's dev team and validated and tested by Duke Clinical Research
Institute.
AI architectAgenticCross‑document consistency
Health Universe / Oncology / 2024–2026
The whole chart, read and sorted
A system that ingests a patient's complete medical record, determines
which cancer it's looking at — patients often have more than one — and assembles a full
clinical history for that specific disease. The summarizing isn't the hard part.
Disambiguating which findings, treatments, and dates belong to which primary is.
Record ingestionMedical NERClinical histories
Health Universe / Revenue cycle / 2024–2026
Getting pathology invoices paid
An agent‑to‑agent system that submits, resubmits, and appeals
pathology invoices to payors. Before anything goes out it reviews each test against the
justification on file and flags what's missing or too thin — the gaps that turn into
denials. It pulls the patient's history to find the evidence that supports the test and
surfaces it, so it can either be attached or sent back to the physician with a note naming
exactly what's absent.
Agent‑to‑agentPayor workflowsDenial prevention
Babson Diagnostics / Clinical diagnostics / 2022–2024
Counting platelets that don't want to be counted
Prick a finger and platelets start clumping at the wound within
seconds, and a clumped sample reads as a falsely low count. It's the reason small‑volume
blood counts were long considered unreliable — published studies still find platelet bias
beyond allowable limits in roughly a third of capillary samples, which is a hard floor on
how small a blood draw can get.
Babson's answer was the inverse of Theranos's — not miniaturizing the
lab, but stabilizing a sample a tenth the size of a normal draw and running it on proven
Siemens analyzers in a real one. That only works if the numbers coming off those analyzers
survive the smaller sample.
I developed the algorithmic assay that made the platelet count hold
up, and operationalized it from research prototype through commercial launch — then built
the data operations behind that launch: order tracking, sample lifecycle, and financial
monitoring at 1,000+ samples a day, on pipelines linking Sysmex hematology analyzers to the
LIS and Salesforce.
Prototype → launchReal‑time MLInstrument integration
ClosedLoop.ai / Healthcare AI / 2021–2024
$81M returned to the Medicare Trust Fund
Led the data science organization — 10+ data scientists, engineers,
and project managers — reporting to the CEO as a non‑voting member of the executive team,
and built the startup's professional services arm into a profitable line of business.
The models: chronic disease progression and hospital admission risk
across 10M+ Medicare and Medicaid lives, serving 2M+ predictions a day on AWS — presented
at HFSA and the ADA and published in the Journal of Cardiac Failure. The preventative
programs they powered were recognized by NAACOS and the Wall Street Journal, and the
platform took Best in KLAS for healthcare AI/ML three years running — above Epic and
Cerner.
Team of 10+P&L ownershipBest in KLAS ×3