Yujia Qin, PhD
MEDAI Core Co-Director
Adjunct Assistant Professor, Dept. of Quantitative Health Sciences, and Bioinformatics Data Scientist, JABSOM Bioinformatics Core
Yujia Qin, PhD, is an Adjunct Assistant Professor in the Department of Quantitative Health Sciences and a Bioinformatics Data Scientist in the Bioinformatics Core at the John A. Burns School of Medicine (JABSOM), University of Hawaiʻi at Mānoa. She earned a PhD in Microbiology and an MS in Computer Science from the University of Oklahoma, following undergraduate training in Bioinformatics.
Her research focuses on computational genomics, multi-omics analysis, and machine learning applications in biomedical research. Her expertise spans genomics, transcriptomics, epigenomics, and microbiome analysis, with applications in cancer biology, biomarker discovery, and disease risk prediction. She also develops reproducible computational workflows for integrating and analyzing complex biological datasets.
She is the Principal Investigator of an NIH AIM-AHEAD-funded project and has led NIH-supported initiatives in cloud-based bioinformatics training and data science capacity building. Within PAC-AID, she serves as Co-Director of the Medical AI & Data Science (MEDAI) Core.