Projects
I build in Bitcoin forensics and responsible AI. Here's what I'm working on.
Core Projects
TrailBit Labs
Research LabIndependent Bitcoin forensics research lab. Validating the heuristics analysts rely on — CIOH, change detection, timing analysis — through empirical testing. All datasets and code published openly.
Trailbit.io
Live DemoLearn blockchain forensics by investigating real cases. Trace fund flows, detect mixing patterns, score risk, and cluster addresses — with real blockchain data and guided investigations. Currently in closed beta — invite only.
DustLine
GitHubEconomic privacy analysis for Bitcoin. Estimates the real-world cost of forensic tracing — analyst hours, graph complexity, attribution rates — to calculate an “economic privacy floor” where analysis becomes financially impractical.
TaintTrail
GitHubBitcoin taint analysis tool that traces funds through the transaction graph using four competing methodologies — Poison, Haircut, Pro-rata, and FIFO — side by side. Reveals how the same transaction can yield taint scores from 12% to 100% depending on the model.
PLA Health
Live AppiOS health app tracking 50+ biomarkers against longevity-focused reference ranges. Evidence-graded AI recommendations from meta-analyses (L1) to preclinical research (L6). Privacy-first with on-device storage.
Experiments & Open Source
Smaller projects built to understand Bitcoin internals and compliance tooling.