My research focuses on accelerating machine learning in HPC environments to enable new types of ML. Currently, I am using distributed sparse matrix kernels to scale large GNN models. I am also working on applying GNNs to science problems, such as particle tracking. In the past, I worked on accelerating graph analytics on GPUs. My work has been supported by the NSF Fellowship.
Ph.D. in Computer Science
B.S. in Computer Science, 2019