I am a final year PhD in computer science and computer engineering at Washington University in St. Louis, where I am advised by
Yevgeniy Vorobeychik. My research interests fall broadly within the fields of adversarial machine learning, deep
learning, and reinforcement learning.
My work has focused on discussing the vulnerabilities of
deep learning models in the context of computer vision and autonomous driving,
as well as developing robust image recognition models and autonomous driving systems which are robust to both
adversarial perturbations (e.g., malicious graffiti painted on road signs) as well as natural
changes in the driving environment (e.g., weather, construction, or accidents).
I'm interested in computer vision, machine learning, optimization, and image processing. Much of my research is about inferring the physical world (shape, motion, color, light, etc) from images.
