My professional profile is organized around statistical decision systems: methods, models, and software that help decision-makers act under incomplete evidence.
The common questions across my work are consistent:
Support-aware off-policy evaluation, replay estimands, robust experiments, incrementality, guardrails, sensitivity analysis, and launch-readiness decisions.
Sparse learning, multiscale approximation, time-series reconstruction, uncertainty estimates, and auditable model validation.
Decision reliability under privacy, trust, and adversarial constraints: secure learning, signal loss, robustness, and authentication.
Operational decision systems for rare events, defects, domain shifts, biomedical monitoring, autonomous systems, and manufacturing quality.
Local-intelligence-based research software, deterministic tools, infrastructure agents, conversational interfaces, model control, and deployment automation.