Liam Crawford
Editor at getmtp.com
Liam Crawford is a PhD candidate in Computer Science at Stanford University, specializing in AI-driven travel optimization. His research focuses on developing machine learning models for dynamic fare prediction and designing algorithms for personalized itinerary planning. Deep experience. Intellectual curiosity.
Editorial standards
Our editorial standards are built on an unwavering commitment to accuracy, independence, and integrity: every piece of content is rigorously fact-checked against primary sources, subjected to multiple layers of editorial review, and held to the highest standards of clarity, fairness, and transparency, ensuring that readers receive trustworthy, well-reasoned information free from bias, conflicts of interest, or sensationalism.
Questions? Contact the editorial desk.
Recent articles by Liam Crawford
- United Online Check-In: The Queueing System Behind the 24-Hour Window August 19, 2026
- How Search Velocity Affects United's LAX-NRT Saver Fares August 18, 2026
- Delta Check-In: 24-Hour Window vs. 4-Hour Cutoff August 16, 2026
- ML Beats Rule-Based by 18% in 2026 Fare Error Benchmark August 15, 2026
- AI Airline Cost Cuts: The 25% Reality, Data & Risks August 13, 2026
- ML Fare Models Reduce Last-Minute Amtrak Costs 18% in 2026 August 11, 2026
- United's GateNet Algorithm Saves 8 Minutes on Dulles Taxi August 11, 2026
- Dynamic Fare Models: 4 Anomaly Rules and Error-Correction Loop August 10, 2026