Jesse He

About Me

I am a PhD student in the Halıcıoğlu Data Science Institute at UC San Diego advised by Gal Mishne and Yusu Wang. My research interests lie at the intersection of interpretable machine learning, geometric deep learning, and manifold learning. I am particularly interested in interpretability for graph neural networks.

I am also an intern at the Pacific Northwest National Laboratory under the mentorship of Henry Kvinge, where I work on machine learning for mathematics.

I did my undergraduate at The Ohio State University, where I graduated in 2022 with a B.S. in Honors Mathematics and a B.A. in Computer and Information Science.

Links

My GitHub

My CV

My usual \(\mathrm{\LaTeX}\) preamble. This wasn't designed to be shared, but I hope you find some useful (or amusing) commands.

Publications

Labmates, Collaborators, and Friends

Alphabetical by surname: