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
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.
A Novel Digital Algorithm for Identifying Liver Steatosis Using Smartphone-Captured Images
Sofia G. Baptista,
Nicola M. Parry,
Stuti G. Shroff,
Leigh Anne Dageforde (* equal contribution)
Transplantation Direct, 2022
Linking Threat Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations for Cyber Hunting