I am a Ph. D. student in my fourth year in Computer Science Department of University of New Mexico. My advisor is Prof. Trilce Estrada. My research interest includes machine learning, big data analysis, and their applications in the analysis of scientific simulations using parallel computing techniques. I worked with Prof. Estrada on in-situ data analysis especially the distributed unsupervised learning algorithms that can scale well and preserve privacy. In the summer of 2017, I worked at Los Alamos National Laboratory with Dr. Qiang Guan on visualization the training of deep neural networks. In the summer of 2016, I worked at Los Alamos National Laboratory with Dr. Ryan Wollaeger on the domain decomposition for optimization of Monte Carlo simulation of super novae.