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levineuwirth/README.md

Levi Neuwirth

Computer scientist, mathematician, composer, writer, and foremost: a student of the Universe.

This restless inquiry — consuming and creating in the same breath — is at the core of who I am.

This fall I begin graduate study in computer science at the Technical University of Denmark (DTU), with the intention of earning a PhD. Before that, I did my undergraduate work in Mathematics and Computer Science at Brown University. My research clusters into three threads:

  • Machine learning — order-invariant ICD-10-CM embeddings (under review at JAMA Network Open, with a deployed calculator); the NeuroPose 3D-kinematics system in Liqi Shu's lab at Brown Neurology; ongoing research engineering at NeuroAI.
  • Computer systems and high-performance computing — the Weenix kernel; a TCP/IP networking stack from scratch in Go; micro-architectural performance work (SIMD, PAPI counters, RAPL energy, cross-ISA ports across AVX2 / ARM NEON-SVE / RISC-V V) on Brown's OSCAR HPC cluster.
  • Reinforcement learning and applied AI — Arcana, a reinforcement-learning agent for Magic: The Gathering on Brown's OSCAR cluster. Adjacent contributions in industry: agentic-systems work at xAI; reasoning, evaluation, and red-teaming engagements with Anthropic, Mistral, and OpenAI.

I build across domains that most people keep separate. The artifacts of that — research, compositions, essays, poetry, and the infrastructure that holds it together — live at levineuwirth.org. Start there.


Selected work

  • AVX2 implementation of ML-KEM / Kyber. 35×–56× speedup over compiler-optimized C for core NTT arithmetic; 5.4×–7.1× end-to-end KEM speedup, with a full statistical-analysis pipeline (Mann-Whitney U, Cliff's δ, bootstrapped CIs) on Brown's OSCAR cluster. (report · artifact)
  • First-author clinical-prediction paper. Permutation-invariant Deep Sets model for ICD-10-CM coding, under review at JAMA Network Open, with a deployed calculator. (preprint · calculator · code)
  • Unix-like kernel in ~7,000 lines of C. Virtual memory, VFS, syscalls, threading, device drivers, and custom linker support for userspace x86-64 ELF binaries. Extended with pipes and userspace preemption.
  • TCP/IP networking stack in ~6,000 lines of Go. TCP, RIP, UDP, and DNS from scratch; supports 1 GB file transmission across 8-node networks, extended with a fully RFC-compliant SSH implementation.

Stack

Languages
C · C++ · Rust · Go · Zig · Python · Haskell · OCaml · Lean · x86 / RISC-V assembly · MATLAB · TypeScript · LaTeX · Bash

Scientific & ML
PyTorch · TensorFlow · JAX · Jupyter · CUDA · ROCm

Tools
Emacs · Docker · Linux (Arch, Gentoo)


Pinned, below

  • icd_embeddings — JAMA submission code and the live outcome calculator (Python / TensorFlow / Deep Sets).
  • neuropose — 3D pose-estimation and kinematic-analysis system for neurological-recovery research (Python / TensorFlow / Rust / MATLAB).
  • LeVCS — A decentralized, federated-first version control system that builds on Git's pitfalls.
  • arcana — early-stage reinforcement-learning agent for Magic: The Gathering on Brown's OSCAR HPC cluster (work in progress).

Where to find me

My primary development happens on my Forgejo instance. Repositories here on GitHub are mirrors and selected public artifacts.

Website · Current · Vita · Forgejo · ORCID · Email · GPG

Pinned Loading

  1. pmacs pmacs Public

    (temporary) Mirror of Pmacs - see git.levineuwirth.org for the TRUE canonical development home

    Rust

  2. icd_embeddings icd_embeddings Public

    A permutation-invariant deep-learning model for 30-day unplanned readmission and 30-day postdischarge mortality, trained on ICD-10-CM diagnosis-code sets from the Nationwide Readmissions Database. …

    Python

  3. neuropose neuropose Public

    A 3D pose-estimation and kinematic-analysis system for neurological-recovery research, developed in Liqi Shu's cross-disciplinary laboratory at Brown University.

    Python 1

  4. proof-broker proof-broker Public

    OCaml

  5. arcana arcana Public

    A high-performance Magic: The Gathering rules engine in Rust, designed as a substrate for reinforcement-learning research.

    Rust

  6. levineuwirth.org levineuwirth.org Public

    Haskell 1