Ben Bowes

Ben is a water resources engineer with a background in hydrology and environmental science. He has expertise in hydroinformatics and machine learning for hydrology and stormwater management applications. Ben’s dissertation focused on the prediction of groundwater table response to storm events and real-time stormwater system control using deep machine learning techniques. Results of his research demonstrated the predictive capability of deep machine learning and the ability of deep reinforcement learning to create stormwater system control strategies for flood mitigation and improved water quality. At Paradigm, Ben applies his expertise in hydrologic and hydraulic modeling, high performance computing, GIS analysis, and Python to support team goals and provide high quality products to our clients.