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Michael Ito

PhD Student in Computer Science

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I am a Computer Science PhD student at the University of Michigan advised by Dr. Jenna Wiens. My research focuses on Artificial Intelligence and Machine Learning with specific applications to healthcare and medicine.

Research Interests

My research lies at the intersection of machine learning and healthcare. Currently, I work on Graph Representation Learning and its applications to healthcare. In the past, I've worked on Explainable Artificial Intelligence, Physics-Informed Neural Networks, and Equivariant Deep Learning.



M. Ito, I. Cunnyngham, X. Sun, and P. Sadowski. Group Equivariant Neural Networks for Spectropolarimetric Inversions in Solar Astronomy. ICLR AI4Earth (2022)

M. Ito, Y. Glaser, and P. Sadowski. Evolution-Informed Neural Networks for Microbiome Data Analysis. IEEE Bioinformatics (2021)

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