Department: Department of Computer Science
Degree: Doctorate
Year in Program: 3rd
Andrés Ramírez Molina is a PhD student in the Department of Computer Science at The University of Alabama. He specializes in integrating Data Science, Machine Learning, and Artificial Intelligence with environmental science. Andrés holds a Bachelor’s in Electrical Engineering and a Master’s in Political Science, bringing over 18 years of diverse experience across various continents and industries. His unique skillset has led him to roles where technology intersects with public administration and innovation to address complex social issues. Currently, Andrés’ research focuses on utilizing deep neural networks to create synthetic streamflow data for unmonitored river segments, aiming to enhance flood risk management and water resource allocation in regions lacking physical gauge networks. Additionally, he employs advanced machine learning techniques to reconstruct past climatological patterns using tree-ring data. The principal objective of his research is to enhance our understanding of historical climate dynamics and their influence on regional hydrology, thereby facilitating improved forecasting and strategic resource management to effectively address climatic variations and their consequences on water availability and ecosystem well-being.