Arielle K. Carr - Students
CLANA Ph.D. Students
CLANA Undergraduate Students
- Jason Ye, Undergraduate Independent Study, Fall 2023-present, A Parallel Implementation of Sparse Approximate Maps.
- Colin Jacobs, Undergraduate Independent Study, Fall 2023-present, A Parallel Implementation of Sparse Approximate Maps.
- Ainara Garcia (Clemson University), REU Researcher, June 2023-present, Recycling Methods for Solving Linear Systems.
- JingHao (David) Wang, Undergraduate Independent Study, Co-advised with Mike Spear, Spring 2023-present, A Hash-of-Sparse-Column Concurrent Data Structure for Sparse Matrices.
- Alex Clevenger, Diep Luong, Luke Hale, Michael Speckhart, CSE Capstone project, Spring 2023-Fall 2023, A Programming Platform for Numerical Analysis and Data Visualization v2.
- Ryanne Cox, Undergraduate Independent Study, Spring 2023, An Implementation of Preconditioner Updates in C++.
- Sean Wang (Cornell University), Undergraduate Researcher, Co-advsied with Sihong Xie, Summer 2022-present, Efficient Multiple Objective Optimization for Fair Misinformation Detection.
- Katja Mathesius (Drake University), REU Researcher, Co-advsied with Sihong Xie, Summer 2022, Efficient Multiple Objective Optimization for Fair Misinformation Detection.
- Sebastian Chavarro, Stephanie Murphy, Rose Rush, Andrew Sukach, CSE Capstone project, Spring 2022-Fall 2022, A Programming Platform for Numerical Analysis and Data Visualization v1.
- Anna Thomas, Math, Undergraduate Independent Study, Summer 2021, An Introduction to Model Reduction.
- Colin Hussey, Finance, Undergraduate Independent Study, Spring 2020, A Study of Numerical Methods and the LU Factorization.
- Hannah Lee, CSB, Women in Data Science (WiDS) co-ambassador, Spring 2020, WiDS@Bethlehem, Lehigh Virtual Expo, May 2020.
- Rebecca Gjini, Math, Undergraduate Independent Study, Fall 2019, A Study of Numerical Methods and Eigenvalues.
- Forest Crowley, CSE, Undergraduate Independent Study, Summer 2019, A Practical Survey of Cryptography.
Positions Available
I am always interested in motivated graduate and undergradute students with strong programming skills who are capable of conducting quality research in the fields of scientific computing, applied linear algebra, and applied numerical analysis. Experience in high performance computing and/or quantum computing is preferred, but not required. Please contact me directly via email with your CV and a brief statement of purpose if you are interested in applying to work in my lab.
