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2.2 KiB
| title | tags |
|---|---|
| Levi Neuwirth — Vita | meta |
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.
Documents
- Curriculum Vitae (PDF) — the complete record, including grants, affiliations, languages, and technical skills.
- Resume (PDF) — one page, engineering-facing.
- Project index — engineering artifacts in depth, with links to writeups and source.
The sections below are generated from the same data as the two PDFs, so they cannot fall out of step with them.
Research Interests
My work clusters into four threads:
- 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 (mentored by James Petrie, Future of Life Institute); a Magic: The Gathering reinforcement-learning project; and reasoning, evaluation, and red-teaming research contracts.
- 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), and the annealed critical window for growing-radius domination in random regular graphs (preprint).
- 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.
- 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. Undergraduate work has been clinically focused; graduate study broadens the scope.
Computer vision and security thread through all four but do not stand on their own.