
Tianxi Cai, ScD
Tianxi Cai is a major player in developing analytical tools for mining EHR data and predictive modeling with biomedical data. She provides statistical leadership on several large-scale projects, including the NIH-funded Undiagnosed Diseases Network at DBMI. Cai's research lab develops novel statistical and machine learning methods for several areas including clinical trials, real world evidence, and personalized medicine using genomic and phenomic data. Cai received her ScD in Biostatistics at Harvard and was an assistant professor at the University of Washington before returning to Harvard as a faculty member in 2002.
DBMI Research Areas
JMIR Med Inform
View full abstract on Pubmed
J Biomed Inform
View full abstract on Pubmed
Arthritis Care Res (Hoboken)
View full abstract on Pubmed
J Clin Neurosci
View full abstract on Pubmed
J Biomed Inform
View full abstract on Pubmed
Patterns (N Y)
View full abstract on Pubmed
EClinicalMedicine
View full abstract on Pubmed
JAMA Intern Med
View full abstract on Pubmed