Amanda S. Hering

Dr. Amanda S. Hering is a Professor of Statistical Science at Baylor University and Co-Director of the Co-Graduate Program. She holds a Ph.D. in Statistics from Texas A&M University (2009), an M.S. from Montana State University (2002), and a B.S. from Baylor University (1999). Her research focuses on applying statistical methods to environmental and engineering challenges, particularly in water/wastewater systems, multivariate spatial-temporal analysis, and statistical process monitoring. She has co-authored influential books like Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches (Elsevier, 2020) and serves as Associate Editor for Technometrics, Environmetrics, and others.

Dr. Hering leads interdisciplinary projects such as the NSF-funded MoWaTER initiative ($1.157M), advancing data science education and water infrastructure optimization. Her work includes developing autonomous wastewater treatment systems, optimizing desalination processes, and creating fault detection algorithms for industrial systems. Notable recognitions include the Abel El-Shaawari Early Investigator Award (TIES, 2019) and a 2020 Intelligent Water Systems Challenge win for ammonia control models reducing energy consumption.

Her research spans statistical methodologies for high-dimensional data, environmental monitoring, and sustainable infrastructure. Current projects involve Bayesian hierarchical models for groundwater analysis and AI-driven optimization of water reuse systems. She collaborates with national labs (e.g., NREL, Oak Ridge) and industry partners (e.g., Aqua-Aerobic Systems) to translate statistical innovation into real-world water solutions.