Yulin Dai

Dr. Yulin Dai is an Assistant Professor in the Department of Bioinformatics and Systems Medicine at the McWilliams School of Biomedical Informatics, UTHealth Houston. His research focuses on leveraging computational methods to understand the genetic basis of complex diseases, particularly Alzheimer’s, autoimmune disorders, and psychiatric conditions. He develops novel tools for multi-omics data integration, single-cell analysis, and polygenic risk scoring. Key projects include the GRPa-PRS method for pathway-based disease risk stratification and the Genevic platform for interactive genetic data visualization.

Dr. Dai holds a PhD in Bioinformatics from Shanghai Institutes for Biological Sciences (2015) and a BS in Systems Biology from the University of Science and Technology of China (2010). His work combines statistical genetics, machine learning, and bioinformatics to address clinical challenges in precision medicine. Collaborations span UTHealth’s McWilliams School and affiliated medical schools within the Texas Medical Center. He teaches BMI 7320: Topics in Artificial Intelligence for Cancer Discovery, focusing on machine learning applications in oncology.

His research emphasizes cell-type specificity in disease mechanisms, integrating single-cell omics, neuroimaging, and GWAS data. Future directions include advancing methodologies for Alzheimer’s disease and enhancing informatics tools for efficient data access. Dr. Dai’s contributions to tools like scEMB and deCS highlight his commitment to translational bioinformatics.