Biography

I am a second year computer science PhD student at UCLA where I am advised by Miryung Kim and am a member of both the Software Evolution and Analysis Lab and the Statistical Machine Learning Lab.

My research aims at understanding the intricacies of training and testing ML systems. Previously, this entailed devising novel adversarial attack regularizations and investigating test metrics for deep learning models with respect to defect detection, input naturalness, and output diversity. At the moment, I am working on unifying and expanding data augmentation and metamorphic testing techniques into a broader framework of invariant, sibylvariant, and mixture transformations.