Shannon Gross is a water resource engineer at RTI who focuses on the development of decision support systems for water resource projects. Her experience in database management, geospatial applications, statistical analysis, and advanced modeling and simulation techniques, enable her to support the automation of computationally intensive processes involved in many real-time systems.
At RTI, Ms. Gross focuses on the configuration of forecasting systems that are tailored to the specific hydrologic, hydraulic, and operational characteristics of the basins being studied. Combining such systems with custom front-end websites or enhancing the analysis with machine learning algorithms, she strives to build forecasting systems that are both cutting-edge and practical.
In 2018, Ms. Gross received a full scholarship to study at Delft University of Technology in the Netherlands, where she attained a MSc in Engineering and Policy Analysis and specialized in water resource applications. She has used her policy degree at RTI to support the development of workshops for multi-stakeholder clients seeking to build consensus on water resource issues. Her primary interests lie in systems development, which she sees as bridging the connections between siloed sources of information to provide useful insights for her clients. Additionally, she is excited by the advancements in Artificial Intelligence and its potential to support future innovations in the water resource sector.
