Freshwater ecosystems are experiencing increasing water quality degradation globally due to climate, environmental factors, and human activities. My research focuses on developing cutting-edge, interdisciplinary tools to better understand, predict, and mitigate these impacts on freshwater quality and ecosystem health. By integrating diverse data sources and methods, including in situ measurements, satellite observations, process-based models, statistical analysis, and artificial intelligence (AI), I seek to produce actionable insights that inform sustainable water resource management across scales.
- Science Mentor: William S. Currie, School for Environment and Sustainability, LSA
- AI Mentor: Samet Oymak, Electrical Engineering and Computer Science, College of Engineering