Causal Methods
Time-series causal inference and statistical validation methods.
- Applied Causal Inference in progress
- double_ml_time_series in progress
- TemporalValidation / temporalcv released
Current work plus the infrastructure, research, and pricing systems behind it. Each links to a deeper page with per-project detail.
Time-series causal inference and statistical validation methods.
Methodology-led AI safety evaluation: real evals, calibration, anti-overclaim discipline.
Long-form study notes synthesized from technical courses. DLAI is the first; more course-derived notes lined up.
Interview-prep guides for data, ML, and AI engineering, plus a book on agentic coding — in active development.
Search, memory, and agent tooling I built to accelerate my own research — it powers the citation-graph demo.
The reusable scaffold and deploy pipeline behind every book and guide here: npm-published, dogfooded across projects.
Annuity pricing and insurance-risk valuation — earlier domain work, intentionally not the lead.
A live sequence-models foundations book and an authored RL + control-theory guide — the research direction.