I used to build post-quantum P2P networks and TLS-intercepting security tools. Now I build the same kind of software for a lab bench instead of a network stack — and it turns out most biotech tooling has the same problem blockchain had: too much software that only runs on the author's laptop.
- Studying biotech/bioengineering, with prior hands-on lab experience in analytical methods.
- Writing native Rust tools for problems I've actually hit at the bench: FASTQ quality control, HPLC/mass-spec data parsing.
- Bringing a systems background into biotech:
cogitator(TLS interception proxy) andprimus-project(post-quantum P2P blockchain, ML-DSA-87 signatures, Noise_XX over QUIC) were the training ground. No unsafe code, no "works on my machine."
- HPLC - parses HPLC/mass-spec instrument exports into one format, with automatic peak detection and visualization. Built after watching real lab data get mangled by inconsistent vendor exports.
- Halflyx - dependency-light pharmacokinetic (PK) modelling suite in Rust — analytical/numerical PK models, CLI, and GUI
- fastqc-rs - FASTQ quality control as a native binary. No Python environment, no dependency hell, just double-click and go for a wet-lab user.
- cogitator - terminal-based TLS MITM proxy and web security toolkit. Finished and scoped on purpose, not a work-in-progress.
- primus-project - post-quantum Layer-1 blockchain: ML-DSA-87 signatures, Noise_XX P2P over QUIC, Merkle-Patricia Trie state. Solo research project — where the systems background comes from.
Rust · systems programming · applied bioinformatics tooling
Open to hearing from research groups, internships, or collaborators working at the intersection of software and wet-lab biology.