Builder · Physiologist · Researcher
Founder of Aevox — CPET interpretation software, in pilot at Hybl Performance Center. MSc Applied Physiology, UCCS, with two papers in preparation on mitochondrial redox biology and metabolic measurement. I ship open tools at the intersection of physiology and code and won the Healthcare × AI NYC Hackathon 2026 with Parsel, a longitudinal voice monitor for Parkinson's. Previously credit trader on Wall Street.
What I'm Building
Company
CPET interpretation software: reinterprets raw breath-by-breath data into a defensible clinical report — thresholds, substrate use, glycogen modeling, economy. In pilot at Hybl Performance Center. Building toward a personalized metabolic health record that blends CPET with lab, imaging, and wearable data into one continuous longitudinal picture — for longevity and performance.
aevox.health →Projects
Longitudinal voice monitoring for Parkinson's. Short conversational check-ins establish a patient-specific speech baseline, then detect drift over time — surfaced to clinicians as trend lines, not a snapshot. Self-referenced monitoring, not a diagnostic classifier. Won Healthcare × AI NYC Hackathon 2026.
parsel.health →Predicting metabolic substrate use from consumer wearable signals. Physiology-grounded ML.
More →Research Tools
Auditable grade matrix for every consumer-wearable claim — VO₂max, HRV, sleep, cuffless BP. Computed verdicts, not asserted.
Open tool →135 biomarkers, 519 evidence cells linking labs to mortality, CVD, dementia, frailty. Citation-backed, open source.
Open tool →Selected Research
A sex-dimorphic thermodynamic-framework analysis of the MoTrPAC rat endurance training dataset. 85 redox-relevant genes, 42,770 observations across 19 tissues, 5 omic layers, 4 training time points. Redox buffering scales significantly sub-linearly with electron transport system expansion in both sexes — with distinct quality-control architectures (mtUPR / mitophagy in males, AMPK in females).
First published independent validation of the MGC Meridian, and the first MGC-vs-Douglas comparison during maximal treadmill running. Nine athletes, 17 paired observations, Bland–Altman across VE, VO₂, VCO₂, RER. Headline: the cart overestimates VO₂ by 6.5% (p<0.001) and underestimates RER by 4.6% (p<0.001) at maximal effort — a non-trivial bias for any lab using MGC for VO₂max-based decisions.
I write about physiology, tech, and psychology. Funspan Five — my weekly newsletter — is free. Shorter thinking on X.
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