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Cai, James Associate Professor


Dr. Cai's research lies at the interface of single-cell biology, computational statistics, and data science. Current research focuses on using machine learning, network science and dynamical system analysis to better understand the diverse behaviors of cells. Dr. Cai's group develops novel algorithms and analytical frameworks to study single-cell omics data from various types of cells. Dr. Cai also studies the genetic basis of phenotypic variability, identifying genetic variants that control complex traits and determine the susceptibility of genetic disorders.

Research Areas research areas

HR job title

  • Associate Professor