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Founder Brief

About Me

I’m Will, founder of Souverain Labs and a hacker at heart. My work sits at the intersection of AI and human biology with one goal: extend human life and reverse biological aging — using non-invasive methods wherever the science allows. We treat aging as a systems problem: AI models biomarker and longitudinal health data at the individual level, then ranks non-invasive interventions by their measured effect on biological age, not population averages.

Outside the lab, I run a personal advisory practice in longevity, AI systems, and automation, and I’m building Aeon Protocol, a minimum-effective-dose training framework. As a hacker I operate across the full stack, security-first by design: build it safe, then try to break it — because systems that handle personal biomarker data can’t afford to be anything less.

Core Expertise

  • AI-Driven Longevity & Biomarker Modelling
  • Non-Invasive Biological Age Reversal Research
  • Applied Geroscience — Hallmarks of Aging
  • Agentic AI Systems & Automation
  • Evidence-Based Human Performance Engineering
  • Longitudinal Health Data & Systems Biology

Current Focus

Building out Souverain Labs' non-invasive longevity research — mapping the hallmarks of aging to AI-modelled, evidence-based interventions at the individual level.

In parallel, developing Aeon Protocol — a minimum-effective-dose training system for strength, power, speed, agility, and flexibility — and taking on select longevity, AI systems, and automation advisory work.

Foundations

Formal coursework is the bedrock under everything here — the places that taught me to think rigorously before I started building. Computer science and AI from Harvard's CS50, mathematics from Khan Academy, offensive-security discipline from Cisco, and the computational-biology grounding behind the biomarker work from MIT.

MIT

Bioinformatics and Proteomics

MIT

Medical Artificial Intelligence

Harvard University

Artificial Intelligence CS50

Harvard University

Computer Science CS50

Cisco

Cybersecurity

Bugcrowd University

Ethical Hacking

Khan Academy

Mathematics

I.T

Self-taught

Operating Thesis Aging is not inevitable — it's a mechanism to be reverse-engineered. Biomarker data is the diagnostic. AI is the accelerant. Non-invasive intervention is the method.