Code and machine learning models (FRIGHT and AFRAID) for predicting chronological age and lifespan from a 31-parameter murine frailty index. Schultz, Kane et al. (2020), Nature Communications.

Full-pipeline AI agent for Nature-series journal writing. Supports OpenClaw, Claude Code, and Codex. Covers journal selection, drafting, figure generation, citation verification, and reviewer response.

The code for the work presented in the research paper titled "Nanophotonic Structure Inverse Design for Switching Application Using Deep Learning"

Batch-Effect Reduction Trees

Analysis code associated with the development of RAS84, a curated RAS transcriptional signature.

Reference implementation, full provenance dataset (7,004 experiments), and revision-ready submission package for the Nature Communications study 'Same Prompt, Different Answer: Hidden Non-Determinism in LLM APIs Undermines Scientific Reproducibility' (Rover et al., 2026, under Major Revision).

Custom C++ global optimizer using Basin-Hopping Monte Carlo — published in Nature Communications · directly analogous to cost-landscape optimization in robotics planning