26 lines
2.2 KiB
Markdown
26 lines
2.2 KiB
Markdown
---
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title: Levi Neuwirth — Vita
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tags: meta
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---
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The formal record. For a less formal, more detailed introduction to who I am, see [[Me]]; for what I am actively working on this month, see [Current](/current.html).
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## Documents
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- **[Curriculum Vitae (PDF)](/cv.pdf)** — the complete record, including grants, affiliations, languages, and technical skills.
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- **[Resume (PDF)](/resume.pdf)** — one page, engineering-facing.
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- **[Project index](/cv/projects/)** — engineering artifacts in depth, with links to writeups and source.
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The sections below are generated from the same data as the two PDFs, so they cannot fall out of step with them.
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## Research Interests
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My work clusters into four threads:
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- **AI safety and applied AI** — zero-knowledge proofs for cryptographic verification of large language models, as a MARS V fellow with the [Cambridge AI Safety Hub](https://caish.org/mars) (mentored by James Petrie, Future of Life Institute); a Magic: The Gathering reinforcement-learning project; and reasoning, evaluation, and red-teaming research contracts.
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- **Mathematics** — graph theory, number theory, and theoretical computer science. Public results so far are graph-theory-centered: static coverage and persistence in tree-ball geometry ([preprint](/essays/branch-based-local-capture-in-tree-balls/)), and the annealed critical window for growing-radius domination in random regular graphs ([preprint](/essays/near-critical-growing-radius-domination.html)).
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- **Computer systems and high-performance computing** — the Weenix kernel, a TCP/IP networking stack from scratch in Go, and micro-architectural performance work (SIMD, hardware counters via PAPI, RAPL energy, cross-ISA ports across AVX2 / ARM NEON-SVE / RISC-V V) on Brown's OSCAR HPC cluster.
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- **Machine learning** — order-invariant ICD-10-CM embeddings (under review at *JAMIA*, deployed calculator), the NeuroPose 3D-kinematics system in Liqi Shu's lab at Brown Neurology, and ongoing research engineering at [NeuroAI](https://neuroai.health). Undergraduate work has been clinically focused; graduate study broadens the scope.
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Computer vision and security thread through all four but do not stand on their own.
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