We are building a global multimodal AI platform that delivers real-time predictive intelligence for disasters.
We save lives and money by creating AI products that holistically support Global Disaster Management
About Us
AI for Natural Disasters is at the forefront of harnessing advanced artificial intelligence to address one of humanity's most critical challenges—natural disasters. Our mission is to develop cutting-edge AI products that power global disaster management, designed to save lives and mitigate economic losses. By leveraging multimodal machine learning, we integrate diverse data sources such as historic disaster data, satellite imagery, weather patterns, language data, and reanalysis maps to deliver real-time insights and predictions. AI for Natural Disasters empowers communities, governments, and organizations worldwide to prepare for and respond to natural disasters with unparalleled accuracy and speed, fostering resilience in the face of nature’s most unpredictable events.
Save Lives and Money with
Natural Disaster AI
Floods, Sinkholes, Hurricanes, Pandemic, Wildfires, Extreme Weather, Earthquakes, and Storms
Our research focuses on leveraging artificial intelligence to drive climate adaptation and sustainable development. We specialize in forecasting and managing extreme weather events, utilizing multimodal machine learning to enhance predictions for hurricanes, floods, and near-term wind conditions. Additionally, we apply AI to optimize flood insurance pricing, ensuring more accurate risk assessment and improved financial resilience for impacted communities.
OUR NATURAL DISASTER AI TEAM
Chief Executive Officer
Data Scientist and AI Executive. Former Chief Growth Officer at Fearless. Formally CTO and U.S. Digital Services Lead at the EPA. Greg was the first Executive Director and Co-Founder of 18F, a 2013 Presidential Innovation Fellow, and Day One Accelerator Fellow. BA Economics Business, a MSMIT from UVA, and MSBAi from NYU.
Chief Operations Officer / CAIO
Data Scientist and AI Expert. Tom brings deep expertise at the intersection of AI, economics, and public sector innovation to his role as COO at AI for Natural Disasters. A proven leader in applied data science and strategic AI deployment, he specializes in building scalable solutions that drive resilience, rapid response, and informed decision-making in high-stakes environments.
Advisor
Cynthia Zeng is an Assistant Professor at NYU Stern in Abu Dhabi, specializing in data science, AI, and climate resilience. She earned her PhD from MIT, where her dissertation, Multimodal Machine Learning for Climate Adaptation, developed new techniques for integrating diverse data to improve climate risk forecasting and adaptation planning. Her work spans machine learning, climate analytics, and computational sustainability.
Advisor
Wayne is the Acting Chief of NOAA’s Science, Technology, and Society Division and Chief of the Observations and Research Support Division in the Weather Program Office. A proven cross-functional leader, scientist, and entrepreneur, Wayne excels at defining and solving complex customer problems and transitioning R&D into operational systems. Wayne is also an American Meteorologist that has met high standards of scientific competence, character, and experience to apply weather knowledge to practical challenges.
Advisor
Rob is a Navy Oceanography veteran and Executive Officer for the Navy Reserve Naval Oceanography Operations Command. With 25+ years of mission-driven leadership, he aligns technology strategy with operational needs across electronic warfare, space operations, remote sensing, forecasting, IT/cloud, and data analytics. He has led cross-sector initiatives from concept to deployment, advised $80M in recommendations to the Pentagon’s Strategic Capabilities Office, and secured $40M+ in federal funding for enterprise IT, cybersecurity, automation, and robotics research. Rob also serves as an SBIR reviewer for NOAA and AFWERX and coaches start-ups on commercialization and go-to-market strategy.
Advisor
Dr. Tremblay is the Hays T. Watkins Distinguished Professor of Business at William & Mary. Her research focuses on business analytics and design science, especially in healthcare, government, and the public sector. She studies how information systems and AI can enhance digital resilience, improve decision-making, and support effective policy implementation.
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Advisor
Dr. Castellanos is an Assistant Professor of Operations and Information Systems Management at William & Mary. His research spans business analytics, FinTech, and systems analysis, with publications in leading journals such as MIS Quarterly. He teaches courses in business analytics and big data and holds a Ph.D. from Florida International University and engineering degrees from the University of Navarra in Spain.
Advisor
Rajiv Kohli is the John N. Dalton Professor of Business at William & Mary and a leading global scholar in information systems and Health IT. He has held visiting appointments at MIT Sloan, Tsinghua University, and the University of Cambridge. Before academia, he spent over 15 years in industry and consulting with organizations such as IBM, SAS, UPS, and major healthcare systems.