Erin Carrier, Ph.D.
Associate Professor, Department of Computer Science
Email: [email protected]
Phone: (616) 331-2439
Office: MAK C-2-211
Education
Ph.D., Computer Science, University of Illinois Urbana-Champaign, 2019
Semester Schedule
Other office hours by appointment only.
|
Day |
Session Title |
Time |
Location |
|---|---|---|---|
|
Monday |
CIS 163-1 |
9:00 a.m. - 9:50 a.m. |
MAK B 2235 |
|
Tuesday |
CIS 163-1 |
8:00 a.m. - 9:50 a.m. |
MAK A 1105 |
|
Wednesday |
CIS 163-1 |
9:00 a.m. - 9:50 a.m. |
MAK B 2235 |
|
Thursday |
CIS 180-1 |
11:00 a.m. - 11:50 a.m. |
MAK B 1132 |
|
Friday |
CIS 163-1 |
9:00 a.m. - 9:50 a.m. |
MAK B 2235 |
Biography
Dr. Erin Carrier is the Director of Student Success and Engagement for the College of Computing. She is passionate about creating a supportive and inclusive environment where students can thrive both academically and personally. Her research centers on developing efficient sequential and parallel methods for solving mathematical problems in science, engineering, and machine learning. Her expertise includes numerical linear algebra, numerical analysis, high-performance computing, parallel algorithms, and low-rank methods, as well as pedagogical and applied research.
Dr. Carrier received GVSU’s Distinguished Undergraduate Mentoring Award in 2025, recognizing her dedication to student mentorship. She serves as Chair of GVSU’s Undergraduate Research Council, a member of the Kindschi Review Committee, and is a member of the Society for Industrial and Applied Mathematics (SIAM).
In the classroom, she teaches courses in computational science, system-level programming, applied machine learning, and computer science. Outside of work, Dr. Carrier enjoys skiing in the mountains, wake surfing, scuba diving, paddleboarding, traveling, reading, gaming, and spending time with her two dogs, Chewie and Coral.
Recent Publications
- Wolfgang, S., Ruiter, S., Tunnell, M., Triche, T., Carrier, E., & DeBruine, Z. (2024). Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Single-cell Omics Data. 2024 IEEE International Conference on Big Data (BigData), 4952–4958. https://doi.org/10.1109/BigData62323.2024.10825091
- Tunnell, M. A., DeBruine, Z. J., & Carrier, E. (2024). Rank Suggestion in Non-negative Matrix Factorization: Residual Sensitivity to Initial Conditions (RSIC) (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2410.14838
- Carrier, E., & Heath, M. T. (2022). Exploiting compression in solving discretized linear systems. ETNA - Electronic Transactions on Numerical Analysis, 55, 341–364. https://doi.org/10.1553/etna_vol55s341
Research with Students
- Seth Ockerman: Detecting Face Mask Usage Trends in Social Media Using Machine Learning
- Marc Tunnell (co-advised with Nathaniel Bowman): Exploring Fast Emulators for Long-running Mars Simulation Code
- Nathan Funckes (co-advised with Greg Wolffe): An Augmented Image Captioning Model – Incorporating Hierarchical Image Information