Statistical methods for biology and neuroscience
My research interests are the developments and applications of statistical methods to address biological and biomedical questions with a focus on -omics data. Over the years, I have been involved in the studies of psychiatric disorders, neurodevelopment and neurodegenerative diseases through genetic, genomic, and proteomic approaches. I have also been involved in imaging genetics studies with a goal of understanding the genetic basis of brain-related traits and diseases. I have active collaborations with many research groups in neuroscience and psychiatry at Yale and I think our group can bring novel computational and statistical tools to the Wu Tsai Institute.
Dr. Hongyu Zhao is the Ira V. Hiscock Professor of Biostatistics, Genetics, and Statistics and Data Science at Yale University. He received his BS in Probability and Statistics from Peking University and PhD in Statistics from UC Berkeley. His research interests are developing and applying statistical methods in molecular biology, genetics, drug development, and precision medicine. His current projects include the analysis of biobank samples with genomics, imaging, and wearable device data, cancer multi-omics data, brain multi-omics data, and single-cell data.