I work at the intersection of neutron scattering science, AI research, and scientific software engineering — building the software that turns raw neutron events into physics, and exploring how AI can accelerate the way we do science.

• 🧲 Neutron scattering — data reduction and analysis software for neutron imaging and diffraction instruments at ORNL
• 🧠 AI research — applying foundation models and agentic systems to scientific workflows, from data reduction to automated analysis
• 🛠️ Software engineering — production scientific software in Python and C++, from detector event streams to user-facing analysis tools

• Investing heavily in NeuNorm lately, adding progress-reporting and feedback features to make its neutron imaging normalization workflows more transparent.
• Building out NEREIDS, including a new documentation branch mapping out its processing pipeline.
• Contributing to Mantid and refining the shared python_project_template that underpins many of our neutron software projects.
• Exploring Rust for high-performance detector processing through rustpix, alongside ongoing work on RootPlantProcessing.

_{✨ This section is written by Claude (anthropic/claude-opus-4.8 via OpenRouter), which reviews my recent public GitHub activity on a schedule and summarizes what I've been working on. See how this profile works.}

Neutron scattering

• Mantid – Collaborative neutron and muon scattering analysis suite with global contributors.
• iMars3D – Neutron imaging reconstruction workflow powering instrument operations at ORNL.
• mcpevent2hist – Transforms raw MCP detector events into analysis-ready histograms.
• iBeatles – Utility collection that streamlines neutron imaging beamline experiments.

AI for science

• PLEIADES – LANL/ORNL research on scalable, AI-enhanced experimental workflows.
• NEREIDS – MCP-enabled neutron imaging analysis with new resolution models for AI-assisted workflows.

_{Last sync: Tuesday, August 4, 2026 at 6:35 AM CDT · 40 followers · 223 repos tracked (196 public) · 69 stars · Top languages: C++ (32.2%), Python (30.6%), HTML (24.6%), IGOR Pro (4.9%), Rust (2.4%), TypeScript (1.7%)}

_{🐍 regenerated daily from my contribution graph by snake-evolution}

This README is not edited by hand — it's the output of a small agentic pipeline that lives in this repo:

1. A scheduled GitHub Action runs scripts/update_profile.py via uv (zero-setup Python with PEP 723 inline dependencies) to pull live stats from the GitHub API and render this page from a template.
2. On a weekly cadence, scripts/ai_highlight.py feeds my recent public activity to Claude through OpenRouter (model-agnostic — one env var swaps the LLM) and lets it write the Currently Exploring section above.
3. The pipeline itself was built and is maintained with Claude Code — the same agentic tooling I use day-to-day for scientific software development.

_{Last updated on Tuesday, August 4, 2026 at 6:35 AM CDT.}