Sisi Ma, PhD
Dr. Ma's primary research interest is the application of statistical modeling, machine learning, and causal analysis methods in the field of biology and medicine. Specifically, her approaches include: (1) devising and implementing new causal discovery methods that are specifically tailored to the characteristics of biomedical data, (2) benchmarking novel and existing causal discovery and predictive modeling methods in order to evaluate their efficacy on biomedical data, (3) 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.
- Statistical Modeling
- Machine Learning
- Causal Discovery
- Big Data
Assistant Professor of Medicine, Division of General Internal Medicine
PhD, Rutgers University, Piscataway, NJ
Master's Degree, Rutgers University, Piscataway, NJ
Bachelor's Degree, Peking University Health Science Center, Beijing, China
Dr. Ma's primary research interest is the application of statistical modeling, machine learning, and causal analysis methods in the field of biology and medicine.
- An Evaluation of Active Learning Causal Discovery Methods for Reverse-Engineering Local Causal Pathways of Gene Regulation
- Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery
- De-Novo Learning of Genome-Scale Regulatory Networks in S. cerevisiae
Computational Causal Analytics
Psychiatric Disorders; Cancer