I am a 4th year Ph.D. candidate in Applied Mathematics at UCLA, studying graph-based machine learning methods with Dr. Andrea Bertozzi. My undergraduate degree was in Applied and Computational Mathematics from Brigham Young University, Provo.
Currently, I am supported by the DOD’s National Defense Science and Engineering Graduate (NDSEG) Fellowship for the remainder of my Ph.D. I was previously supported by the NRT MENTOR Fellowship for the 2018-2019 academic year (Fall 2018- Summer 2019).
I am interested in efficient machine learning algorithms that leverage the inductive biases of graph-based learning. I have been developing effective and scalable methods for active learning in graph-based semi-supervised classification problems.
More About Me
Besides a passion for machine learning and mathematics, I love my growing family. I also enjoy watching college basketball and football, bouldering, running, and having meaningful discussions with family and friends.