About AmberPilot Decision Lab
We build Decision Science programs with clinical clarity and operational realism. Our name reflects steady navigation—amber for measured caution, pilot for evidence-guided control.
Mission
Advance responsible decision-making by teaching reproducible analytics, principled experimentation, and transparent uncertainty reporting.
Approach
We combine peer-reviewed techniques with practical constraints from healthcare, product, and operations—without overclaiming outcomes.
Values
- Integrity over shortcuts
- Clarity over jargon
- Safety over hype
Milestones
2019 — Founding
We launched with a single cohort on A/B testing and power analysis, emphasizing ethics and interpretability.
2021 — Healthcare track
Introduced a healthcare analytics pathway with governance modules for regulated environments.
2024 — Optimization suite
Expanded into operations research with linear programming, simulation, and risk modeling.
Team
Maya Cortez, PhD
Head of Curriculum. Former clinical trials statistician; specializes in causal inference and ethical experimentation.
Arjun Mehta, MSc
Lead Instructor, Optimization. Built capacity models for large-scale operations in logistics and healthcare.
Emily Chen, MA
Learning Experience Designer. Ensures clarity, accessibility, and rigorous assessment design.