A browser-based learning lab for testing how aircraft choice, route structure, demand, and operational constraints shape airline performance, built as a case-study companion to an IATA Network, Schedule & Fleet Planning course in Miami in 2026.

A browser-based learning simulator, built as part of an IATA Revenue Management course in Singapore in February 2026, that explains how airlines steer seat inventory across booking curves, fare classes, bid-price decisions, overbooking, spoilage, spill, load factor, and yield.

A browser cockpit backed by a Python optimization API that uses Google OR-Tools to re-accommodate disrupted passenger groups across a synthetic European multi-hub network with realistic MCT, MPR, capacity, and partner-routing trade-offs.