معرفی
Arielle K. Carr is an Assistant Professor in the Department of Computer Science and Engineering at Lehigh University. Her research focuses on applied linear algebra, numerical analysis, and scientific computing, with an emphasis on iterative methods for large linear systems and eigenproblems. She actively integrates quantum computing and machine learning into her work, addressing challenges in climate modeling and high-performance computing. Carr is also dedicated to STEM education and promoting underrepresented groups in mathematics and data science. She has organized conferences like the 2023 Gene Golub SIAM Summer School and co-organized workshops on quantum algorithms.
Education: PhD in Mathematics (Virginia Tech, 2021), BS/MS in Mathematics (Virginia Tech, 2012/2015), BA in Sociology (Roanoke College, 2008). Awards include the 2024 SIAM Science Policy Fellowship and the 2020 Lehigh Early Career Teaching Award. She has advised numerous students on research projects in numerical methods and computational science.
Recent research contributions include preconditioner enhancement using reinforcement learning (PEARL), optimization of linear system solvers for climate models, and quantum algorithm advancements for optimization problems. She leads initiatives in distributed deep learning robustness and collaborates with interdisciplinary teams across quantum computing and HPC.
