Statistics & Modeling
Research directions that define how I extract signal, measure robustness, and engineer data pipelines with traceable statistical guarantees.
- Feature Extraction, Residualization, Whitening
- Selection, validation, and model hygiene
- ML/DL architecture & topology
- Adversarial resistance and stress testing