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Cai, James Associate Professor

Positions

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 quantum computing 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, and the genetic basis of phenotypic variability to identify genetic variants that modulate complex phenotypic traits and susceptibility of genetic disorders.

Research Areas research areas

HR job title

  • Associate Professor