What I bring

Research depth. Engineering discipline.

I work at the intersection of computational materials science, scientific software, and AI—turning complex research workflows into reliable systems for discovery.

The connecting thread

I build across boundaries.

My path through enterprise software, materials engineering, physics, and AI lets me approach a scientific problem at more than one level: the research question, the computational method, and the system people need in order to use it reliably.

Materials physicsScientific computingAI & automationSoftware engineering

For industry

From difficult workflows to dependable systems

I can help teams where scientific complexity, computation, and software delivery meet.

For academia & national laboratories

Research that connects ideas, computation, and people

I contribute as both a computational researcher and a builder of reusable research infrastructure.

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AI-assisted scientific discovery

I develop agentic tools that accelerate routine research work while keeping expert judgment, provenance, and scientific validation central to the workflow.

TritonDFT · autonomous research workflows

Where I may fit

Roles and collaborations

These titles vary across organizations, but they describe the kinds of problems and teams to which my background is best suited.

Continue the conversation

Have a problem at the intersection of science and computation?

I would be glad to hear what you are building and where my experience might contribute.