I am combining physics and machine learning to develop a nationwide flood forecasting system that will provide actionable climate risk information for policymakers and communities.
Using shallow water equations and machine learning, I am developing a nationwide flood forecasting system that will provide actionable climate risk information for policymakers and communities. By integrating physics-based modeling with modern machine learning techniques, I aim to improve the scalability and accuracy of flood prediction across diverse environments.
I previously developed a novel algorithm for predicting the Atlantic Meridional Overturning Circulation (AMOC) under highly limited data conditions, achieving performance that outperforms existing approaches. I have also authored and published a data-focused book, and I am currently working on a mathematics and climate science book that explores foundational and advanced concepts in the field.
I am particularly drawn to Woodwell’s emphasis on translating scientific innovation into real-world solutions through collaboration, policy engagement, and partnerships that improve climate resilience at scale. My professional goal is to become both a climate science researcher and an entrepreneur, and to develop advanced forecasting systems for environmental and climate challenges. I hope to build a science-driven organization that turns climate research into practical tools for the public. By advancing Earth system modeling, I hope to uncover new insights into what drives specific climate systems and help solve or reduce the risks associated with climate change.
