My research focuses on developing and applying artificial intelligence and machine learning methods for real-world applications with a special interest in high-impact weather. Much of my current work focuses on weather analytics or physical data science, where my students and I are developing physics-based trustworthy AI methods as well as explainable AI. We apply these methods to high-impact weather phenomena including tornadoes, hail, severe wind events, flooding, drought, and aircraft turbulence.