Dr. Sisi Ma

This group's primary research interest is the application of statistical modeling, machine learning, and causal analysis methods in the field of biology and medicine. Specifically, approaches include: devising and implementing new causal discovery methods that are specifically tailored to the characteristics of biomedical data; benchmarking novel and existing causal discovery and predictive modeling methods in order to evaluate their efficacy on biomedical data; and designing analytical experiments to discover critical contributing factors to pathologies and diseases from multimodality high-dimensional high-volume data to aid the development of diagnostic technologies and identification of potential treatment targets.