Research
General relativity, warp-drive spacetimes, condensed matter, quantum field thinking, effective media.
Research systems, scientific communication, deep-tech execution
Physics with structure. Research with momentum.
I work across theoretical physics, scientific computing, research operations, and technical communication, building systems that help ambitious ideas become executable work.
About
A hybrid profile: scientist, builder, organizer.
I am a physicist, research engineer, and scientific leader with experience across general relativity, condensed matter, scientific computing, university teaching, and deep-tech research execution.
My work is strongest where rigorous theory, numerical exploration, technical writing, and coordination have to operate together instead of in isolation.
I care about systems that move difficult work forward: research programs, publication pipelines, collaborator workflows, and now AI-assisted information products.
Core strengths
Where I tend to create leverage
Computation
Python, Mathematica, Maple, parameter sweeps, modeling, interpretation, and publication-grade figures.
Communication
Manuscripts, technical reports, editorial work, simplifying dense ideas without flattening them.
Execution
Research planning, Jira-based coordination, task decomposition, contributor alignment, and momentum.
Selected roles
A career built between theory and delivery
Selected output
Papers, books, and research artifacts
Approach
I like research stacks, not isolated tasks.
01
Frame the question
Clarify the physics, the objective, the constraints, and the output format before the work fragments.
02
Model and test
Move between analytical reasoning, numerical exploration, and readable visual output.
03
Explain and ship
Turn results into papers, reports, roadmaps, and collaborative systems that can survive contact with reality.
News Lab
Base layer for a future AI-curated niche news product
Static now, API-ready next
This section is already structured to receive generated summaries, editorial notes, and topic-specific explainers. Right now it renders local seed data. Later, we can swap the source to a Cloudflare-backed feed without redesigning the page.
- Bilingual UI already in place
- Card feed rendered from data, not hardcoded markup
- Ready to replace local JSON with a Worker or API endpoint