John Lawson

John Lawson is a Research Assistant Professor at Utah State University, affiliated with the Bingham Research Center and Department of Mathematics and Statistics. Based at the Vernal campus, he serves as a Senior Research Scientist focusing on air-quality modeling in the Uintah Basin. With meteorology degrees from the University of Reading (MMet), University of Utah (MS), and Iowa State University (PhD), his work bridges numerical modeling, artificial intelligence, and public risk communication.

His research navigates the intersection of atmospheric modeling, predictability analysis, and AI applications for weather forecasting. Current projects focus on improving ozone prediction in intermountain basins using novel machine learning approaches. Lawson maintains particular expertise in probabilistic forecasting verification, severe storm prediction, and developing accessible risk communication frameworks for decision-makers.

Lawson's recent publications (2021-2025) demonstrate strong focus on:

• AI/ML applications for weather and air quality prediction
• Novel approaches to probabilistic forecasting
• Winter ozone formation in complex terrain
• Forecast communication strategies
• High-resolution ensemble modeling

This work frequently employs machine learning, fuzzy logic systems, and information theory to address meteorological challenges.

He has previously collaborated with the National Severe Storms Laboratory (NSSL) on supercell forecasting and pioneered storm-chase educational programs. Earlier career experience includes founding a cloud-based forecasting startup serving energy and weather industry clients.