About Me

Hello! I’m a PhD student at Columbia DBMI, currently rotating with Professor Matthew McDermott. My research interests lie at the intersection of machine learning, artificial intelligence, and health. Here is my CV.

Before Columbia, I earned a B.S. in Computer Science with a minor in Physics from the University of Michigan. At the Michigan AI Lab with Professor Jenna Wiens, I worked on machine learning for healthcare, first as an undergraduate researcher, then for a year as a pre-doctoral researcher.

Outside of research I enjoy cycling, keeping up with the news, music, and cooking!

Email: gbk2114 (at) cumc (dot) columbia (dot) edu

News

11/24: I wrote a blog post on DEPICT for the Michigan AI lab blog. Check it out here.
7/24: DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks accepted to ECCV 2024!
6/24: Started as a full time research assistant with Jenna Wiens’s MLD3 group at Michigan.
5/24: Graduated with a B.S. in Computer Science and minor in Physics from Michigan with distinction.
6/23: Started as a undergraduate research assistant with Jenna Wiens’s MLD3 group at Michigan.

Publications

DEPICT: Diffusion Enabled Permutation Importance for Image Classification Tasks
Sarah Jabbour, Gregory Kondas, Ella Kazerooni, Michael W. Sjoding, David Fouhey*, Jenna Wiens*. ECCV 2024. [paper][code]
depict_thumbnail Permutation importance has been used to provide feature importance explanations for tabular-based models. Leveraging text-conditioned diffusion, we extend this framework to image-based models and facilitate dataset-level model explanations.

Teaching

Teaching Assitstant - PHYSICS 250: Physics for the Life Sciences II, Spring 2021 - Fall 2023