I work at the intersection of two things that sound unrelated until you look closely: breaking systems and building ones that can't be broken.

On one side, I reverse engineer malware, pulling apart packers, tracing injection routines, and writing the detection logic that catches the next sample from the same family. On the other, I study quantum information theory, where security stops being a matter of computational difficulty and starts being a matter of physics.

In September I'm presenting research that connects them directly: using quantum cryptographic techniques to protect medical records and diagnostic imaging.

   classical crypto  →  hard to break, eventually breakable
   quantum crypto    →  breaking it means breaking physics

Global Health Catalyst Summit — September 2026

Quantum cryptography for medical data. Patient records are the highest-value target in healthcare breaches and the hardest to remediate — you can reissue a credit card, but not a genome. This project applies quantum key distribution to record encryption and uses ghost imaging to protect diagnostic images: the image is reconstructed from correlated photon measurements, so an interceptor holding one arm of the setup holds nothing meaningful.

Quantum-cryptographic protection for patient records and medical imaging. Protocol design, threat model, and reference implementation for the GHC presentation.

Python · Qiskit · NumPy

→ Repository

Detection scripts for malware families I've reverse engineered. Static signatures, IOCs, unpacking notes, and annotated routines. No live samples — detection artifacts only.

YARA · Python · Ghidra

→ Repository

A life simulation written in pure C++. No engine, no dependencies, no external libraries, just the standard library and a model that holds up under scrutiny.

C++ · Make

→ Repository

My own language written in pure C. No engine, no dependencies, no external libraries.

C . Make

→ Repository

IBM Quantum — completed the full learning track, foundational through advanced.

_{All verifiable on Credly.}