N·LIN
My work builds predictive models of human behavior — gradient-boosted learners, transformer-based language models, and the psychometric instruments that keep both honest — deployed inside institutional data systems.
xgboost · deberta-v3 · sbert · bertopic · irt · pyspark · r → python
plate nº 01
— the author
/// 2026
Builds & demos ///
01.
Behavioral Prediction
Gradient-boosted tabular models of human outcomes — with calibration checks, honest baselines, and validation discipline treated as the deliverable, not the garnish.
[ prediction · tabular ]02.
Measurement & Psychometrics
Instruments before models: item response theory, reliability, construct validity — the quantitative-psychology layer under every credible prediction task.
[ irt · reliability · validity ]03.
Language as Data
Transformer pipelines — DeBERTa-v3 classifiers, sentence encoders, BERTopic — turning free text into structured, analyzable signals for organizational research.
[ nlp · transformers · topic models ]Presentations & Papers ///
MORS Symposium — contributions
Predictive behavioral pipelines and measurement work presented to the defense-analytic community across multiple symposia.
category · conference
Distribution-cleared versions of presentations and papers, posted as they clear review.
author page · papers.ssrn.com
Google Scholar — publication index →
Aggregated publication record and citation view.
scholar.google.com
Defense Technical Information Center reports indexed under my name — as Contracting Officer's Representative, typically in the last-author position.
dtic.minsky.ai · role · COR
Open Code ///
Selected public repositories: modeling tooling, text-analysis pipelines, and legacy-framework translations.
github.com/limynet
R → Python translations
RShiny-era analytical frameworks rebuilt on Python infrastructure (Streamlit, Polars, PySpark) for long-term maintainability.
category · infrastructure
Measurement utilities
Small instruments: scoring, calibration plots, item-analysis helpers used across projects.
packaging forthcoming
This domain is also a knowledge system.
Behind this page sits a personal KOS — private by default: a wiki-shaped ontology database of concepts, methods, artifacts, and the relations between them. Working notes and notebooks sync behind access control; public excerpts are opt-in. The graph also feeds retrieval for my own research agents.
Collaboration, data, or the full CV — write.
For collaborations, datasets, speaking, or a copy of my full CV, write directly. Mail sent from this form lands in my private inbox; the full CV is not posted publicly.
[ prefer direct? /// [email protected] ]