Noelle Law

Phd Student

Noelle Law is a member of the Climate, Energy, and Risk Analytics Lab and an incoming Mechanical Engineering and Urban Sciences PhD student. Her research focuses on generative AI and graph neural networks, specifically as it relates to generating physically realistic extreme event scenarios, such as storm surges. Previously she worked as a Machine Learning & Perception Engineer at the Johns Hopkins University Applied Physics Laboratory and holds degrees in computer science and engineering. She is excited to contribute to the development of trustworthy and interpretable systems that enhance climate risk assessment and resilience. To see more details about her education, experience, and contact information, please consult her website!