---
title: Levi Neuwirth — Vita
tags: meta
---

For a less formal, more detailed introduction to who I am, see [[Me]]. 

## Documents
These are probably what you're looking for. A summary of the key points follows below!

- **[Curriculum Vitae (PDF)](/cv.pdf)** 
- **[Resume (PDF)](/resume.pdf)** 

## Education

- **Technical University of Denmark (DTU)** — MSc in Computer Science and Engineering. September 2026 – expected 2028. Expecting PhD studies after.
- **Brown University** — Sc.B. in Computer Science and Mathematics. August 2022 – May 2026
- **DIS Copenhagen / Københavns Universitet** — Semester abroad. Fall 2024

## Research Interests

My work clusters into three threads:

- **Machine learning** — order-invariant ICD-10-CM embeddings (under review at *JAMA Network Open*, 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.
- **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.
- **Reinforcement learning and applied AI** — a Magic: The Gathering RL project on OSCAR; production agentic-systems work at xAI on `grok-code-fast-1`; reasoning, evaluation, and red-teaming contracts with Anthropic, Mistral, and OpenAI.

Computer vision and security thread through all three but do not stand on their own.

## Research

### Published / In Submission

- **Shu L, Neuwirth L†, Wang X†, Zheng H†.** *Beyond Comorbidity Indices: An Order-Invariant ICD-10-CM Embedding for Readmission and Mortality Prediction.* Under review at *JAMA Network Open*, 2026. [Preprint](/essays/beyond-comorbidity-indices/) · [Calculator](https://levineuwirth.github.io/icd_embeddings/) · [Code](https://github.com/levineuwirth/icd_embeddings)
- **Neuwirth L.** *Where Does SIMD Help Post-Quantum Cryptography? A Micro-Architectural Study of ML-KEM on x86 AVX2.* Technical report, Brown University Department of Computer Science, April 2026. [Report](/essays/where-does-simd-help-post-quantum-cryptography/) · [Artifact](https://git.levineuwirth.org/neuwirth/where-simd-helps)

### In Preparation / In Progress

- **[NeuroPose](/essays/neuropose/) clinical-implications manuscript.** In preparation; target submission 2026–2027.
- **SIMD / PQC Phase 2 & Phase 3.** Hardware performance counters (PAPI), RAPL energy, and cross-ISA ports (ARM NEON/SVE, RISC-V V).
- **Semantic-embeddings citation project.** Early-stage work with [NeuroAI](https://neuroai.health), preprint expected summer 2026.
- **Magic: The Gathering reinforcement learning project.** Early-stage work through Brown's HPC, expected late 2026. 

### Presentations

- **Early Detection of Neurological Disorders through Video-Captured Kinematic Analysis.** Ma J, Arms S, Kaneira L, Lall M, Chen K, Cabral W, Man D, Neuwirth L, Shu L. Poster, Brown / Rhode Island Hospital Neurology Summer UTRA Symposium, August 2025.
- **"Order-Invariant ICD-10-CM Embedding for Readmission and Mortality Prediction: Toward Multimodal Generative Patient Models"**Shu L, Neuwirth L†, Wang X†, Zheng H†. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), August 2026, in review.

†Equal-contribution undergraduate authors.

## Experience
See [resume (PDF)](/resume.pdf).

- **xAI**  Summer 2025, remote. Contributed to training of `grok-code-fast-1`. Integrated LLMs into autonomous agent frameworks spanning 20 tools across thousands of production workflows and codebases; diagnosed and resolved 50+ agentic failures, improving tool-execution rates by >15%, reducing fatal tool-usage errors by >40%, and reducing API usage by >20%. Contributed to safety systems, reducing hallucination rates by >50% in controlled agent-behavior tests.
- **NeuroAI** Present. [neuroai.health](https://neuroai.health). Early-stage venture of academics and clinicians integrating deep learning, reinforcement learning, and generative AI into clinical and research workflows; leading research-engineering across model development, deployment infrastructure, and system design.
- **Shu Laboratory, Brown Department of Neurology** — *Undergraduate Researcher and Technical Lead.* October 2023 – Present. Technical lead on [NeuroPose](/essays/neuropose/); co-lead developer on the [ICD-10-CM embedding model](/essays/beyond-comorbidity-indices/).
- **Independent Research Contracting** — *Anthropic, Mistral, OpenAI.* 2025 – Present Expert reasoning contributions in code and mathematics for agentic workflows, agentic task design and evaluation, AI safety, and red-teaming.

## Selected Projects

- **[Weenix](/essays/weenix/)** — Unix-like kernel in ~7,000 lines of C: virtual memory, VFS, system calls, threading, device drivers, interrupt handlers, and file systems. Custom linker support for running userspace x86-64 ELF binaries; extended with pipes and userspace preemption.
- **[Networking Stack from Scratch](/essays/networking-stack/)** — TCP/IP, RIP, UDP, and DNS in Go, supporting file transmission of up to 1 GB across 8-node networks. Extended with a fully RFC-compliant SSH implementation (2,000+ additional lines) supporting sustained sessions of arbitrary length.
- **[SIMD / PQC Performance Study](/essays/where-does-simd-help-post-quantum-cryptography/)** — Hand-written AVX2 assembly for 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 on Brown's OSCAR cluster.

For the complete index — additional artifacts, deployed ML, and smaller tools — see [/cv/projects/](/cv/projects/).

## Contact

[ln@levineuwirth.org](mailto:ln@levineuwirth.org) · [ORCID 0009-0002-0162-3587](https://orcid.org/0009-0002-0162-3587) · [GitHub](https://github.com/levineuwirth) · [Forgejo](https://git.levineuwirth.org/neuwirth)
