[H]he continued undergraduate research as part of the Coastal and Computational Hydraulics Team with Associate Professor Casey Dietrich and graduate student Tomás [Cuevas] López. The project was related to predictions of coastal flooding due to hurricanes.

“I helped run more than 1 million CPU hours of hurricane models to train our machine-learning model called Concorde, which can predict storm-driven flooding in seconds,” Tucker explained. “I also created detailed Python examples for Kalpana, an intermediary model used by researchers across the country.”

“This was a lot of work,” Dietrich emphasized. “Each hurricane simulation can take several hours on a parallel computing cluster and generate gigabytes of data, and so it took about two months to complete the simulations. It would have taken much longer without Brandon’s help and creativity. He wrote scripts to automate the process to submit, monitor, and archive the simulations, and he contributed to a post-processing visualization script. His documentation and examples are now shared widely with all users of the software. Brandon is strong at the technical skills of computing and programming, but he also sees the larger picture and looks for ways to contribute.”

After graduation, Brandon will pursue a Master of Civil Engineering at CCEE with a focus on transportation systems, while also completing a Graduate Certification in City Design from the College of Design.

Congratulations to Brandon!