levineuwirth.org/content/about.md at 6d2f9d12aee66a3912239a00227772be812c3ee2

title	tags
Levi Neuwirth — Vita	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!

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

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 · Calculator · Code
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 · Artifact

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, preprint expected summer 2026.
Magic: The Gathering reinforcement learning project. Early-stage work through Brown's HPC, expected late 2026.

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.

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. 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; co-lead developer on the ICD-10-CM embedding model.
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.

For a complete index of engineering artifacts — kernels, networking, cryptography, deployed ML — see /cv/projects/.