From Consent to Cognition: The Age of Statistical Liberation Begins Here
At Johns Hopkins, I dissected the long-term risks of kidney donation in older adults, not out of institutional loyalty but epistemic necessity. My NIH K08 funded work uncovered a truth too inconvenient for EHRs: frailty is invisible to code. Administrative datasets and survival curves lied by omission. I didn't publish to get tenure. I built tools to end the era of performative informed consent.
Result: a suite of internally validated risk calculators for ESRD, mortality, and hospitalization. Public release pending. Peer review will catch up.
Despite full scientific and technical success, I rejected the R01 treadmill and the illusion of independence in academia. Promotion to Assistant Professor in 2020 was a polite insult—so I walked away.
Instead: I founded a translational aging-tech venture aimed at real-time, user-centered tools. I no longer serve the academy. I serve the human future.
I now channel my efforts into five interlocking domains of aging-focused AI:
Each tool is a cognitive prosthetic. Each system is a rebuke to the static PDF of conventional science.
Frailty is not merely a clinical condition. It is a semiotic blind spot—a failure of systems to register vulnerability. This insight is not academic; it is war. My work declares a frontal assault on the bureaucratic flattening of the aged.
Frailty is to our models what dark matter is to physics: unseen, dominant, and distorting everything.
My work no longer depends on the grant lottery of slow institutions. The future is written in JavaScript, not LaTeX. I pursue SBIR/STTR funding and alternative capital to ensure epistemic tools reach those who need them—patients, families, frontline clinicians, and caregivers.
This is not translational research.
This is translational resistance.