Kate Xu

I'm Kate, an incoming PhD student in Computer and Information Science at the University of Pennsylvania. My research interests are in computer vision and machine learning, including egocentric vision, image segmentation and synthesis, and model interpretability.

Currently, I am pursuing my master's degree in computer science at MIT with Professor John Fernández and Dr. Norhan Bayomi at the Environmental Solutions Initiative. My project utilizes vision transformers to map extreme heat risk in urban areas. In between my master's program, I explored sequential learning and model interpretability as a software engineer intern on the Open Catalyst Project team at Meta AI.

I completed my bachelor's degree in computer science with a minor in mathematics at MIT. As an Undergraduate Research and Innovation Scholar, I leveraged image segmentation to identify viable livers for transplant with Katherine Fairchild at the MIT Quest for Intelligence and Siavash Raigani, MD and Leigh Anne Dageforde, MD, MPH at the MGH.

In addition, I examined the biases of generative models using chest X-ray images with Professor Phillip Isola and Dr. Swami Sankaranarayanan, and I developed a graph database for cyber threat hunting with Dr. Una-May O'Reilly and Dr. Erik Hemberg at MIT CSAIL.

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sym A Novel Digital Algorithm for Identifying Liver Steatosis Using Smartphone-Captured Images
Katherine Xu*, Siavash Raigani*, Angela Shih, Sofia G. Baptista, Ivy Rosales, Nicola M. Parry, Stuti G. Shroff, Joseph Misdraji, Korkut Uygun, Heidi Yeh, Katherine Fairchild, Leigh Anne Dageforde (* equal contribution)
Transplantation Direct, 2022
Paper  /  Poster

sym Linking Threat Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations for Cyber Hunting
Erik Hemberg, Jonathan Kelly, Michal Shlapentokh-Rothman, Bryn Reinstadler,
Katherine Xu, Nick Rutar, Una-May O'Reilly
arXiv, 2021


Template credit to Jon Barron.