معرفی
Arielle Carr is an Assistant Professor in the Department of Computer Science & Engineering at Lehigh University's Rossin College of Engineering. She holds a Ph.D. in Mathematics from Virginia Tech (2021), an M.S. in Mathematics (2015), and dual B.S. degrees in Mathematics with a Computer Science minor and Sociology with an Education minor from Virginia Tech (2012) and Roanoke College (2008). Her research focuses on applied linear algebra, numerical analysis, and preconditioning techniques for large-scale systems, with applications in quantum computing, weather prediction, and science policy advocacy.
Dr. Carr’s work emphasizes preconditioner development, Krylov subspace methods, and recycling techniques to enhance solver efficiency. She is particularly known for integrating machine learning into numerical methods and advancing quantum interior point algorithms. Her recent SIAM Science Policy Fellowship (2024) reflects her commitment to STEM advocacy and policy engagement, including collaborations with institutions like the Da Vinci Science Center to promote women in engineering.
Her publications span interdisciplinary topics, blending numerical analysis with emerging technologies like quantum computing and diffusion models for ensemble forecasting. Though not explicitly listed, her research likely involves collaborations with computational science and engineering groups. Awards include the 2024 SIAM Science Policy Fellowship.
