Adam Bargteil

Adam Bargteil is Assistant Professor developing computational methods for physics-based animation and scientific visualization. His research creates novel techniques for simulating natural phenomena with applications in environmental modeling.

Education:

• PhD Computer Science, University of California, Berkeley
• BS Computer Science & Mathematics, University of Maryland

Current work focuses on dynamic wildfire prediction systems using machine learning and geometric algorithms. This includes real-time fire spread modeling and digital twin frameworks for emergency response planning.

Collaborates with environmental scientists to translate computational research into operational tools for natural disaster management.