PhD candidate, Applied Mathematics

North Carolina State University
Department of Mathematics
Office: SAS 4123
Email: eaherman@ncsu.edu

Research interest: Randomized Matrix Theory, Uncertainty Quantification, Partial Differential Equations, Bayesian Inverse Problems
Advisors: Alen Alexanderian and Arvind Saibaba

Click here to view my current CV (updated 1/3/2019).


I am in my final year of the Applied Mathematics Ph.D. program at North Carolina State University. I completed my Masters degree in Applied Mathematics in December 2017 and was admitted to Ph.D. candidacy by passing my preliminary oral exam in April of 2019. I work with my advisors, Alen Alexanderian and Arvind Saibaba, on developing randomized algorithms to increase computational efficiency of designing experiments. These experiments, in my work, consist of large-scale Bayesian inverse problems governed by PDEs. I am also interested in machine learning and uncertainty quantification. My work at NC state is funded by the National Science Foundation through the Randomized Numerical Analysis Research Training Group. In the summer of 2019, I also interned at Sandia National Laboratories at the Center for Integrated Nanotechnologies (CINT). Here I worked with Dr. Remi Dingreville and Dr. James Stewart on using mathematical techniques to create a reduced-order model. I hope to use my experiences and knowledge to better the world and people’s lives.