معرفی
Dr. Peter Sadowski is an Associate Professor at the University of Hawaii at Mānoa in the Department of Information and Computer Sciences. His research focuses on machine learning and artificial intelligence, with an emphasis on deep learning applications in science and engineering.
- Ph.D., Computer Science, University of California, Irvine (2016)
- B.S., Computer Science, California Institute of Technology (2009)
Dr. Sadowski's research explores the intersection of machine learning and scientific domains. He develops deep learning models to solve complex problems in physics, astronomy, and climate science, while advancing foundational neural network techniques like random backpropagation.
His recent publications highlight deep learning's versatility, including applications in antimatter physics, particle physics, and interdisciplinary collaborations. Current projects aim to improve computational models for scientific data analysis and climate adaptation.
- NSF CAREER Award (2023) for machine learning in climate adaptation
- DOE Solar Forecasting Competition Prize (2022)
- NSF Awards (2021) for self-supervised learning in microbiome science and astronomy
Dr. Sadowski teaches machine learning courses and runs an open AI seminar for students and faculty. He contributes to open-source machine learning tools like SHERPA (Hyperparameter optimization) and Keras tutorials.
