Alexander Sun

Dr. Alexander Sun is a Researcher at the Bureau of Economic Geology, University of Texas at Austin, focusing on computational hydrology, geostatistics, and data-driven predictive analytics. His work addresses climate change impacts, energy-water nexus, and sustainable water management through multidisciplinary approaches.

• B.S., Civil and Environmental Engineering, University of California, Los Angeles (1995)
• M.S. and Ph.D., Civil and Environmental Engineering, University of California, Berkeley (1996, 2000)

His research integrates physics-based modeling with machine learning to solve hydrogeoscience challenges, particularly in groundwater-surface water interactions, CO2 plume migration, and real-time data fusion. Recent projects include NASA-funded GRACE satellite data gap filling and industrial collaborations on sensor anomaly detection.

Key trends in his publications include applying artificial intelligence to hydrological modeling, enhancing remote sensing data utility, and optimizing carbon sequestration. He emphasizes bridging process-level understanding with deep learning for predictive models.

Dr. Sun actively seeks partnerships with government and industry stakeholders to translate computational tools into practical environmental decision support systems. He co-authored a seminal book on environmental model calibration with his father in 2015.