Our History and Goals
We are a group of data science and flood modeling experts producing information systems designed to reduce flood losses.
We believe that the challenge of escalating flood losses can be tackled with technology.
We are only scratching the surface of the damage avoidance that can be achieved by leveraging predictive models and excellent data.
Over the past several years, we've worked with communities and businesses to understand local flood risks
and effective approaches for mitigating risk. Our collaborative approach involves strong communication with
stakeholders to ensure actionable data is produced that leads to meaningful mitigation strategies.
Most recently, our team developed cloud-native flood simulation software that can produce flood risk predictions with actionable insights at regional levels. Our software generates a caliber of flood risk data that meets and exceeds engineering industry accuracy standards.
Previously, this data was too computationally intensive to generate in a cost-effective manner for local communities. Therefore, it has been hard for local governments to understand their flood risk and optimize solutions. With our service we aim to remove barriers that currently constrain local governments from participating in flood hazard mitigation.
Here is a reference to the original paper from which our software was derived:
Sanders, B. F., & Schubert, J. E. (2019). PRIMo: Parallel raster inundation model. Advances in Water Resources, 126, 79-95.
Leadership Team
Dr. Adam Luke has a Ph.D. in Civil Engineering from the University of California, Irvine. Dr. Luke has a dual background in Hydrology and Data Science. His research has focused on methods for predicting flood risks in the context of changing environmental conditions. He is a professional Data Scientist in practice. His expertise in the models underlying flood risk assessment coupled with his knowledge of modern software engineering and machine learning techniques makes him particularly well suited for bringing flood modeling online.
Dr. Brett F. Sanders has a Ph.D. in Civil Engineering from the University of Michigan. Dr. Sanders is a Professor of Civil Engineering at the University of California, Irvine. He has previously served as the Chair of the Civil and Environmental Engineering Department. He is recognized as a leader in the field of computational fluid dynamics and has co-authored 40+ academic research papers on flood modeling and flood risk management. His expertise in computational fluid dynamics provides the team with world-class software for flood hazard simulation and prediction.
Dr. Jo Schubert has a Ph.D. in Surveying and Geodesy from the University of Nottingham. Dr. Schubert is a flood hazard modeling and mapping research specialist in the Department of Civil and Environmental Engineering at University of California, Irvine. He has a dual background in flood hazard modeling and geographic information systems (GIS). His expertise in flood hazard modeling and GIS is well suited for intersecting flood hazard predictions with transportation assets and online mapping tools.