About the Migraine Detective Method & Its Creator
Why Migraine Detective Exists
I started where most migraine patients do: MRI to rule out the worst, then a sequence of conventional treatments - amitriptyline, sumatriptan, propranolol, high-dose NSAIDs, and the usual "migraine vitamin" stack of B-vitamins and magnesium.
I made every lifestyle change I was told might help. I quit coffee and chocolate, haven't had a drink in more than seven years, and spent years chasing dietary triggers. I tried acupuncture and chiropractors, QEEG and neurofeedback, Botox, triptans, CGRP blockers, forty-pill supplement stacks, and even traveled to India for a month-long stay at an Ayurvedic clinic that improved many issues - but not the head pain.
When AI finally became accessible, I took a different path: large language models plus data. I fed years of pain logs, blood panels, MRIs/MRAs, and doctor-visit notes into a custom AI model and spent months testing system-level hypotheses. Instead of asking "What's the next drug or diet?", I asked "What system-level patterns can be found and tested?"
After a lot of trial and error, the result was a layer-by-layer investigation framework - the Migraine Detective Method. It helped surface hidden drivers, change the timing and type of interventions I was using, and prioritize which tests and experiments were actually worth running. Today, I rely less on medication and have a framework for understanding which patterns may be active, what to test next, and what to bring to my clinicians. See Case Study for more detail.
This site exists to share that pattern-based way of thinking so that other people with persistent migraine can use it as an educational framework with their own clinicians - not as a replacement for medical care, but as a way to make care more informed and less random.
Short Bio
I run an independent consulting practice and serve as a fractional executive for VC-backed startups, PE-owned companies, and large corporates. I'm also an active investor and spend a significant amount of time in the AI world.
I hold an MBA from Stanford and live in Puerto Rico, working with clients around the world. View my LinkedIn