
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
Clin Gastroenterol Hepatol
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Mult Scler Relat Disord
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J Med Internet Res
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JAMA Netw Open
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J Neurointerv Surg
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NPJ Digit Med
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Sci Rep
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