Writing & ideas

The argument

One claim runs across the domains: what people can do inside a system is a designable, measurable property of that system — and treating it that way changes what you build, what you measure, and who gets to do the work.

The thesis

Capability is a system parameter

Systems don't fail because the technology breaks. They fail because someone couldn't do what the system required.

Every complex system depends on what people can do inside it. That dependency is measurable, designable, and too important to leave to chance. Capability lives at the interface between what a system requires of its operators and the impact the system has to deliver — and when that interface is wrong, the gap may originate in human development, in system design, in organizational performance, or in the interaction among them. Telling those apart is itself a measurement and engineering problem.

Casebook, First Edition, August 2026

Working paper — draft

Show Your Work

A curve can turn a 40 into a B. A transcript can certify a degree. A benchmark can certify a model. None can tell you whether the learner, the clinician, or the operator can actually do the thing when the stakes are real — only a demonstration can.

The argument that professional competence has to be measured by functional behavior — a work sample scored against a real task — not inferred from a grade, a credit hour, or a test score. The same standard doubles as a fairer gate: let the demonstration, not the pedigree, decide.

Draft, August 2026, with James Diamond

Position paper

Capability, Not Content

"More training" is the answer we reach for when we have not asked what capability is actually missing, or where in the system it lives.

You cannot lecture a pilot out of a single-sensor design, audit a hospital into safety with a metric staff have learned to game, or brief a crew past a manning shortfall. When the diagnosis is wrong, the intervention is theater.

Commentary — in press

Calibrate the Scientists, Not Just the Microscopes

Measurement discipline belongs on the people running an experiment as much as on the instruments they run it with.

BRAIN CONNECTS, in press

Method

When a negative result is the result

"Not like this, not yet" is a result a capability engineer must be able to deliver.

Reading a constraint space accurately enough to recognize that external, non-technical factors have narrowed it past the point where a capability goal is realistic is itself a valid project outcome — documented, defended, and used to guide the work. It is not a failure.

Method

Agency as a design constraint

Capability without agency is automation.

The goal is not operators who comply with a system specification but operators who can perform, adapt, and lead when the system encounters conditions it was not designed for.

In the press

Coverage

Press release June 2022

Johns Hopkins APL Developing Standards to Enable Better Brain Analysis

Johns Hopkins APL News

Announcing BENCHMARK, a $1.3M NIH grant to build community standards for large-scale structural brain data, integrated into bossDB.

We will significantly amplify neuroscience research investments by ensuring data and analysis products are comparable and reproducible.
Press release November 2023

Johns Hopkins APL Awarded NIH BRAIN CONNECTS Funding to Map Brain Circuits at the Resolution of a Single Synapse

Johns Hopkins APL News

Named co-lead of APL's contribution to two NIH BRAIN CONNECTS projects, bringing scalable cloud pipelines, systems engineering, and machine learning to high-throughput connectomics.

Feature January 2023

Deciphering the Brain

JHU Engineering magazine

A feature on BENCHMARK and bossDB, and on making petabyte-scale brain data shareable across the BRAIN Initiative community.

Press release July 2021

Johns Hopkins APL, Amazon Partner to Accelerate Access to High-Resolution Brain Mapping Data

Johns Hopkins APL News

bossDB joins the AWS Open Data Sponsorship Program, opening petascale neuroimaging data to the public.

This relationship will catalyze the democratization of data access and accelerate scientific exploration by researchers and members of the public.
Feature May 2021

The Subset Seekers

Johns Hopkins APL News

Led the data science team that triaged records from 1,182 COVID-19 patients and built an algorithm predicting patient trajectory two weeks after admission.

Press release May 2019

Hopkins Researchers Release Tool to Enable Better Health Care

Johns Hopkins APL News

Launch of the Johns Hopkins Precision Medicine Analytics Platform (PMAP).

PMAP gives researchers access to data, a virtual collaborative workspace and tools to help develop new algorithms that can ultimately improve clinical decisions and patient care.
Press release November 2018

APL, Collaborators Launch World's Largest Neuroscience Data Repository

Johns Hopkins APL News

The bossDB launch announcement.

As neuroscience datasets continue to grow in size, this is an important example of collaborative experimentation at the forefront of neuroscience, combining diverse expertise drawn from many research groups.
Award April 2014

Johns Hopkins APL College Prep Program Earns Howard County Volunteer of the Year Honors

Johns Hopkins APL News

Awarded jointly to Will and Karla Gray-Roncal for co-leading APL's all-volunteer College Prep Program.