Applied ML · Protein Design · Biotech
Building ML systems
that work in the wet lab.
I work at the intersection of machine learning and protein engineering — designing scoring pipelines, generation workflows, and validation frameworks for therapeutic protein candidates. Based at BioLM.
Background
Adaptyv Bio EGFR Competition
Computational protein binder design, experimental validation
BioRxiv Preprint
Protein toxin classification, transformer-based sequence models
Bio × ML Hackathon
Evolved2024 — Team Silica
Featured writing
All posts →Available for consulting
Protein design pipelines, scoring ensemble design, ML model evaluation, generation strategy — if you're building in the protein engineering or biotech ML space and want an experienced hand, reach out.
chance.challacombe@gmail.com →