Nick Chin, Ph.D. Candidate, Department of Environmental Engineering Sciences, University of Florida

Join us for the livestream March 12th, 11:45am ET: https://youtube.com/live/WosuSfuehBE?feature=share

(Please visit our YouTube channel main page for the stream if there are any issues with the direct link.)

ABSTRACT

In this talk, Nick Chin, a Ph.D. student in the University of Florida’s Environmental Engineering and Sciences Department, will explore how self-organizing maps can be used to better understand the drivers of Florida’s persistent red tide events. By analyzing complex environmental patterns in coastal watersheds, his research aims to identify key factors contributing to harmful algal blooms and improve prediction models for more effective mitigation strategies. He will discuss the integration of artificial intelligence in physical modeling, highlight key findings, and examine how data-driven approaches can support policymakers and scientists in protecting coastal ecosystems. This presentation will provide insights into the power of machine learning for addressing one of Florida’s most pressing environmental challenges.

BIO

Nick Chin is a fourth-year doctoral candidate in the Watershed Ecology Lab within the Environmental Engineering and Sciences Department at the Herbert Wertheim College of Engineering. Nick’s research focuses on modeling estuarine and coastal phenomena in coastal watersheds using both mechanistic approaches and artificial intelligence (AI) / machine learning. He earned a Bachelor of Science in Environmental Engineering Sciences from the University of Florida in 2017 and a Master of Science in Business Analytics and Information Systems from the University of South Florida in 2020. 

POSTCARD