Reproducibility audit of METEOR across 73k ACL papers. Compared 8 Python/Java implementations; found up to 10-point score divergence from undocumented parameter choices. Includes Docker test harness and systematic literature review.

A scientifically audited research prototype for finite-difference & Feynman-Kac computation of linear parabolic PDEs. Establishes a rigorous, noise-controlled no-go theorem for reference-free error source identifiability. 61+ tests green.

Automated data pipeline and reproducible reporting suite built in R and Quarto, featuring parallelized ingestion, longitudinal variance analytics, and HPC cluster stability diagnostics.