Dinh Huy

Dinh Huy is an Assistant Professor in the Department of Oncology at the University of Wisconsin–Madison, School of Medicine and Public Health, and is based at the McArdle Laboratory for Cancer Research. His research focuses on the immune microenvironment in cancer and inflammation, with a particular emphasis on neutrophil biology and computational immunology.

His research interests include:

• Understanding immune microenvironment heterogeneity and plasticity in cancer and wound healing
• Characterizing anti-tumoral neutrophil phenotypes induced by immunotherapy
• Identifying biomarkers in severe burn trauma using human and model organism samples
• Developing computational methods for multi-omics and single-cell data integration
• Comparing chronic inflammation in non-healing wounds and cancer

His recent publications demonstrate a strong trend in leveraging single-cell and spatial transcriptomics to dissect myeloid cell dynamics in diverse disease contexts, including head and neck cancer, esophageal cancer, ovarian cancer, and burn injury. His work bridges computational biology with experimental validation, often in collaboration with clinical and basic science labs.

Scientific awards and recognitions include:

• NIH funding awarded in 2023
• Mentoring students who have received AACR Scholar-in-Training Awards (2024, 2025)
• Students receiving the Thomas and Bonnie Minter Graduate Student Cancer Research Award (2024), L&S Honors Summer Research Apprenticeship Award (2025), and Sophomore Research Fellowship (2025–2026)

Dinh Huy actively mentors graduate students and postdocs, including Josh Brand and Athena Golfinos-Owens, both of whom have successfully defended their theses and transitioned to industry roles. His lab has secured competitive grants and fosters collaborative research, particularly in immunogenomics and precision medicine. He is also involved in training programs in Biomedical Data Science, Cancer Biology, and Microbiology.

His lab, which includes postdocs like Hien Pham and graduate students such as Anqi, Zhili, and Sananda, focuses on computational and experimental approaches to understand neutrophil heterogeneity across inflammatory and oncogenic conditions.