permutation-testing

An introduction to computational statistics with examples and comparison to analytical methods

High-throughput, cycle-level neural signal analytics validated on clinical-scale iEEG data for cognitive biomarker discovery

A reproducible audit framework for undeciphered-script corpora: sign-identity resolution, uncertainty preservation, multi-witness comparison, adequacy testing, null-model permutation, power analysis, entropy estimation, positional and affixation analysis, phonological testing, arithmetic controls, & a divergence register. Demonstrated on Linear A.

Topological and geometric signatures of brain network dynamics in Alzheimer’s disease (Alzheimer's & Dementia Journal)

Developed a machine learning solution for Megaline to automate personalized mobile plan recommendations. By analyzing customer usage behavior, the model identifies whether subscribers are more likely to benefit from the Smart or Ultra plan, supporting data-driven marketing and customer retention strategies.

Deterministic policy evaluation and precedence tracing for structured agent responses.