Contributor

Mikaila Gossman is pursuing her Ph.D. in Clemson University's Holcombe Department of Electrical and Computer Engineering. In 2020, she received her bachelor's degree in Computer Engineering from the same institution. She has worked in multiple research areas throughout her academic career, emphasizing machine learning and fault tolerance. Her research interests center around improving the performance and scalability of scientific applications in High-Performance Computing (HPC) systems, focusing on checkpoint-restart (C/R) and I/O scalability. Currently, she works on Argonne National Lab's VELOC project to explore new methods for improving state-of-the-art asynchronous multi-level checkpointing.