I work at the intersection of AI and synthetic biology, building protein and enzyme design workflows that connect computational modeling, experimental validation, and data feedback.
I turn advanced models and atom-level tools into reproducible systems that teams can reuse.
Public entry point: SynAster Hub — a protein-design skill bundle for AI agents.
Public tools: Pipeline Assessment for structured pipeline review · DummyDocking for inspectable docking workflows.
The contribution observatory is refreshed by GitHub Actions; the native GitHub contribution graph remains available below the profile.
For conversations around AI for biology, protein engineering, scientific infrastructure, or agentic workflows, reach me through GitHub.
Let experimental data decide the next design; let curiosity decide the next question.



