Tristan McKinnon builds data pipelines for the US federal government's most regulated environments. As a Senior Healthcare Data Engineer at Axle Informatics and Principal Investigator at Deterministic Systems Lab, he designs zero-trust architectures processing genomic and clinical data at NIH scale under FedRAMP-High controls.
His research on the Identity-Per-Transaction (IPT) protocol demonstrates how Python and serverless primitives can achieve provable compliance in high-stakes environments—eliminating persistent service accounts in favor of ephemeral, cryptographically scoped credentials that self-destruct after each transaction.
Tristan's work has been published in IEEE BigDataSecurity and presented at AAAI, with ongoing research under review at USENIX Security. He is pursuing a Doctorate in Engineering (AI/ML) at George Washington University.