Yuhui Hong
Postdoctoral Scholar at Noble Lab (2025 - Present)
University of Washington
Advised by Professor William Stafford Noble
Ph.D. in
Indiana University Bloomington
Advised by Professor Haixu Tang
I am a postdoctoral researcher working at the intersection of machine learning and molecular science. My research focuses on developing computational methods to model and interpret high-throughput experimental data, particularly mass spectrometry-based proteomics and metabolomics. I am interested in building machine learning systems that enable deeper understanding of molecular mechanisms and accelerate biological and chemical discovery.
Please feel free to get in touch!
Research interests
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3D molecular representation and properties prediction
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De novo molecular identification from mass spectraMetabolomics: FIDDLE (Nature Communications, 2025)Proteomics: De novo peptide sequencing (in progress, Noble Lab)
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Trustworthy machine learning for microbiome-based disease predictionMicroKPNN-MT(Bioinformatics Advances, 2024) · MicrobiomeCF(bioRxiv, 2025)
News
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03/09/2026
Our work, De novo sequencing of chimeric spectra using Casanovo, has been
selected for an
oral presentation at ASMS 2026, San Diego. - 02/11/2026 Invited to give a seminar talk at San Diego State University.
- 09/19/2025 Awarded the UW Data Science Fellowship at eScience Institute, University of Washington.
- 07/07/2025 I will join Noble Lab at University of Washington as a Postdoctoral Scholar in August 2025.
- 05/09/2025 Recipient of the Luddy Outstanding Research Award.
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03/04/2025
Our work, A Task-Specific Transfer Learning Approach to Enhancing Small Molecule
Retention Time Prediction with Limited Data, has been selected for an
oral presentation at ASMS 2025, Baltimore.