Statistical methods for biology and neuroscience
The Zhao Lab develops novel statistical and computational methods focusing on genomics data. They collaborate with research groups at Yale, including neuroscience and psychiatry, to apply their methods to study the biological basis and treatment strategies for many psychiatric disorders, neurodevelopment, and neurodegenerative diseases. The lab is also interested in imaging genetics studies to understand the genetic basis of brain-related traits and diseases.
Biography
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.