PhD Research
Evaluating the efficacy of preconditioners in solving real-world problems.
Research Experience
Collaborative Research
Development of a novel in-memory accelerated preconditioner.
Applied Computing Institute
Value-Compressed Sparse Column (VCSC): Sparse Matrix Storage for Redundant Data
Applied Computing Institute
Accelerating Large Scale Non-negative Matrix Factorizations with CUDA.
LANL Parallel Computing Summer Research Internship
Generating Very Large-Scale Unstructured Meshes for Storm-Surge Modelling.
Undergraduate Research
Fast Gaussian Process Emulation for Mars Global Climate Model.
National Science Foundation REU
A Novel Convolutional Neural Network for Emotion Recognition Using Neurophysiological Signals.