Zhuoheng Li is a Ph.D. candidate in Molecular Nutrition, working with Dr. Nathaniel Vacanti. He holds an M.S. in Biochemical and Molecular Nutrition from the Friedman School of Nutrition Science and Policy at Tufts University and a B.S. in Food Science and Technology from the University of California, Davis. Zhuoheng is dedicated to developing algorithms and pipelines for the integration and analysis of multi-omics data, with the objective of translating complex data into cancer biology discoveries. In Vacanti’s lab, Zhuoheng is engaged in the development of machine learning models that utilize cancer proteome abundance profiles for the classification of protein subcellular localization.

My research includes developing the Breast Cancer Proteome Portal that collectively visualizes protein and transcript abundance relationships in the three major clinical breast cancer proteomics studies. Currently, I am developing a machine-learning model that predicts protein subcellular localization using protein and transcript abundance data.

Lai, C-Q., Parnell, L. D., Li, Z., Feldeisen, S., Bhupathiraju, S. N., Tucker K. L., Ordovas, J. M. “Genome-wide association of metabolites in Hispanics with obesity reveals genetic risk and interactions with dietary factors for type 2 diabetes.” Metabolites 2025, 15(11), 697. https://doi.org/10.3390/metabo15110697; Li, Z., Vacanti, N. M. “A Tale of Three Proteomes: Visualizing Protein and Transcript Abundance Relationships in the Breast Cancer Proteome Portal.” Journal of Proteome Research. 2023, 22(8), 2727–2733. https://doi.org/10.1021/acs.jproteome.3c00290

2021, M.S., Biochemical and Molecular Nutrition, Tufts University
2018, B.S., Food Science and Technology, University of California, Davis
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