Dr Eric Hall is a Baxter Fellow and Lecturer in Applied Mathematics in the School of Science and Engineering at the University of Dundee. Originally from Philadelphia, Eric graduated with a B.A. in Mathematics from the University of Pennsylvania and earned a PhD in Mathematics (Probability and Stochastic Analysis) at the University of Edinburgh. Subsequently, he was a Göran Gustafsson Postdoctoral Fellow in Numerical Analysis at KTH Stockholm, a Visiting Assistant Professor in Applied Math at the University of Massachusetts Amherst, and a Research Scientist in the Chair of Mathematics for Uncertainty Quantification at RWTH Aachen University. 

Dr Hall is a Fellow of the Institute of Mathematics and its Applications and sits on the General Committee (Trustee) of the Edinburgh Mathematical Society. He is a member of the Society for Industrial and Applied Mathematics and the American Mathematical Society. 

Dr. Hall is an applied mathematician who specializes in the mathematical aspects of data science. His research focuses on predictive modelling, stochastic simulation, and uncertainty quantification for complex systems. Recently, Dr. Hall has developed domain-aware surrogate models and accompanying sensitivity analysis techniques for scientific machine learning. His work has considered various application areas, including multi-scale/-physics systems in materials science (energy materials), non-Markovian models in finance and biology, and sparse data problems in subsurface flow in geophysics.

Dr Hall teaches the MA22004 Statistics 2 and MA33001 Mathematics Work Placement modules. He also supervises undergraduate mathematics honours projects in statistics, applied probability, and data science, including scientific machine learning.