I'm a researcher, developer, and systems thinker working at the intersection of AI, health, and resilience. My work brings together microbiome science, interpreted AI, and digital tools to tackle complex challenges — from early disease detection to adaptive infrastructure and heritage protection.

I lead Portlock Lab, a space for computational innovation in human and planetary health. Whether it’s designing microbiome-AI pipelines, building interactive tools for cultural heritage resilience, or visualizing complex systems — I’m driven by curiosity, clarity, and impact.

🧪 Research interests:

• Microbiome and malnutrition
• Interpretable machine learning
• Digital heritage and disaster resilience
• Data-driven policy tools for equity

🛠️ Technical focus:

• Python, Nextflow, R, Dash, Cytoscape
• Workflow automation, containerisation, FAIR data
• GraphML-based visual GUIs and metadata-driven pipelines

• 🌐 Lab Website: portlocklab.com
• 🧑‍💻 Google Developers: developers.google.com/u/theoportlock
• 💼 LinkedIn: linkedin.com/in/theo-portlock-234180227
• 🐦 Twitter/X: @theoportlock

For full project overviews, visit portlocklab.com or check the pinned repos below.

• 🧬 theoportlock-biobakery-nextflow: A modular pipeline for KneadData, MetaPhlAn, and HUMAnN with Slurm/Apptainer support
• 🧠 M4EFAD Tools: Cognition and microbiome recovery research workflows
• 🏛️ Resilience Dashboards: Interactive web tools for cultural heritage under climate and seismic risk
• 🧩 Graph-based Workflow Runner: Visual execution engine for command-line tools using Dash + Cytoscape

See latest publications and talks at portlocklab.com/publications
Or follow my work on Google Scholar and Cassyni.

I'm always open to collaboration on projects that combine science, storytelling, and systems thinking. Reach out via LinkedIn or Twitter.