Peter Sadowski

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POST Bldg Room 309C

1680 East-West Rd

Honolulu, HI 96822

I am an Associate Professor at University of Hawaii at Mānoa in the Department of Information and Computer Sciences. My research focuses on machine learning and artificial intelligence, and I collaborate broadly with researchers in the natural sciences. I also co-direct the Medical AI core as part of the Pacific Center for AI and Data Science in Medicine.

Background

Ph.D. Computer Science, University of California Irvine
B.S. Computer Science, California Institute of Technology

Teaching

I regularly teach machine learning courses. Non-CS students are welcome to audit or take them for credit. I also run an AI seminar that is open to all interested students and faculty.

News

Jul 21, 2026 Linnea’s paper on using neural surrogates for fast simulation based inference accepted to Journal of Geophysical Research: Machine Learning and Computation!
May 6, 2026 Yusuke’s paper on using deep learning for statistical downscaling of rainfall published in Artificial Intelligence for the Earth Systems!
Oct 11, 2025 New publication accepted to ApJ on physics-informed ML model for 3D solar photosphere reconstruction.
Sep 6, 2025 Our self-supervised foundation model for oceanography published in Artificial Intelligence for the Earth Systems!
Sep 3, 2025 Review of AI-enhanced breast ultrasound screening accepted for publication in PLOS Digital Health!
Aug 5, 2025 Nick defends his PhD Dissertation on Self-Supervised Foundation Modeling for Science Applications!
Jun 2, 2025 Awarded a National AI Research Resource (NAIRR) Demo grant!
Dec 26, 2024 Method for probabilistic 3D direction modeling published in Machine Learning: Science and Technology
Nov 27, 2024 Our latest paper on AI for Astronomy made the local news!
Jul 5, 2024 Congrats to Arianna for her MICCAI 2024 paper on XAI for breast ultrasound!
Feb 2, 2024 Two papers applying generative AI to medical imaging.
Jun 7, 2023 NSF CAREER Award will use machine learning to help Hawaii adapt to climate change.
Apr 6, 2022 Nimbus AI wins DOE solar forecasting competition.
Sep 2, 2021 Two NSF awards to apply self-supervised learning to microbiome science and astronomy.