
Tianxi Cai, ScD
Professor of Biomedical Informatics, Harvard Medical School
John Rock Professor of Population and Translational Data Sciences, Harvard T.H. Chan School of Public Health
Director, Translational Data Science Center for a Learning Health System (CELEHS)
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
Evaluating surrogate marker information using censored data.
Phenome-Wide Association Study of Autoantibodies to Citrullinated and Noncitrullinated Epitopes in Rheumatoid Arthritis.
Authors: Liao KP, Sparks JA, Hejblum BP, Kuo IH, Cui J, Lahey LJ, Cagan A, Gainer VS, Liu W, Cai TT, Sokolove J, Cai T.
Arthritis Rheumatol
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Arthritis Rheumatol
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Surrogate-assisted feature extraction for high-throughput phenotyping.
Authors: Yu S, Chakrabortty A, Liao KP, Cai T, Ananthakrishnan AN, Gainer VS, Churchill SE, Szolovits P, Murphy SN, Kohane IS, Cai T.
J Am Med Inform Assoc
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J Am Med Inform Assoc
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On longitudinal prediction with time-to-event outcome: Comparison of modeling options.
Large-scale identification of patients with cerebral aneurysms using natural language processing.
Authors: Castro VM, Dligach D, Finan S, Yu S, Can A, Abd-El-Barr M, Gainer V, Shadick NA, Murphy S, Cai T, Savova G, Weiss ST, Du R.
Neurology
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Neurology
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Robust Dynamic Risk Prediction with Longitudinal Studies.
Prioritizing individual genetic variants after kernel machine testing using variable selection.
Authors: He Q, Cai T, Liu Y, Zhao N, Harmon QE, Almli LM, Binder EB, Engel SM, Ressler KJ, Conneely KN, Lin X, Wu MC.
Genet Epidemiol
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Genet Epidemiol
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Robust risk prediction with biomarkers under two-phase stratified cohort design.
Identifying predictive markers for personalized treatment selection.
Limited Hospital Variation in the Use and Yield of CT for Pulmonary Embolism in Patients Undergoing Total Hip or Total Knee Replacement Surgery.
Authors: Kumamaru KK, Kumamaru H, Bateman BT, Gronsbell J, Cai T, Liu J, Higgins LD, Aoki S, Ohtomo K, Rybicki FJ, Patorno E.
Radiology
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Radiology
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