My research interests are in artificial intelligence, computer vision, anomaly detection, and self-supervised representation learning. Specifically, my research has two components. I am researching the use of self-supervised methods to learn dimensionality reduction strategies for extracting semantic features from unlabeled images. I am also researching optimal methods for modeling the resulting lower dimensional feature spaces in order to detect anomalous cases in sets of images.