Seth Bassetti

Hey there, I'm Seth Bassetti! 👋

Deep Learning Researcher | Computer Science Educator

I’m a Computer Science instructor at Utah State University, where I develop and teach curricula for introductory courses in Python, Java, and computer architecture. I am a firm believer in project-based learning as a cornerstone of effective education. In the classroom, I follow a cognitive apprenticeship model, guiding students toward the skills and confidence they need to build programs that genuinely excite them.

Beyond teaching, my research focuses on leveraging deep learning to improve climate modeling. As the climate changes rapidly, we need faster, more efficient alternatives to computationally intensive numerical models. My work explores how data-driven models can effectively emulate the spatiotemporal dynamics of our global climate—delivering forecasts in a fraction of the time required by traditional methods.

In my downtime, I enjoy running, bikepacking, climbing, and baking (I’m currently on a quest for the ultimate browned butter chocolate chip cookie).

Selected Publications

2024
DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion Models Seth Bassetti , Brian Hutchinson, Claudia Tebaldi, Ben Kravitz Journal of Advances in Modeling Earth Systems
Emulating the Global Change Analysis Model with Deep Learning Andrew Holmes, Matt Jensen, Sarah Coffland, Hidemi Mitani Shen, Logan Sizemore, Seth Bassetti , Brenna Nieva, Claudia Tebaldi, Abigail Snyder, Brian Hutchinson arXiv

2022
Conditional Emulation of Global Precipitation with Generative Adversarial Networks Brian Hutchinson, Alexis Ayala, Chris Drazic, Seth Bassetti , Eric Slyman, Brenna Nieva, Piper Wolters, Kyle Bittner, Claudia Tebaldi, Ben Kravitz AGU Fall Meeting Abstracts
ICLR
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All Publications