Tianx Cai

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)

10 Shattuck Street, Room 434, Boston, MA 02115

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
Multimodal Prediction of Future Depressive Symptoms in Adolescents.
Authors: Wang L, Zhou N, Jaffe NM, Pidvirny K, Tierney AO, Fisher HB, Morfini F, Forbes EE, Pizzagalli DA, Cai T, Webb CA.
Res Sq
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Early detection of non-small cell lung cancer: an electronic health record data-driven approach.
Authors: Li X, Yuan EY, Kuperberg SJ, Bonzel CL, Jeffway MI, Cai T, Liao KP, Aguiar-Ibáñez R, Kao YH, Santorelli ML, Christiani DC, Cai T, Duan R.
BMC Med
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Testing the internal validity of the maintenance/discontinuation study design for antidepressant medications in depression using simulations.
Authors: Meyerson WU, Cai T, Smoller JW.
medRxiv
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Label efficient phenotyping for Long COVID using electronic health records.
Authors: Hong C, Wen J, Zhang HG, Ayakulangara Panickan V, Yang DY, Chen AW, Xiong X, Wang X, Morris M, Morini S, Sangar R, Dey A, Samayamuthu MJ, Liao K, Bonzel CL, Tanukonda V, Maripuri M, Honerlaw J, Ho YL, Visweswaran S, Kohane IS, Cho K, Brat G, Xia Z, Cai T.
NPJ Digit Med
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Controllable Sequence Editing for Biological and Clinical Trajectories.
Authors: Li MM, Li K, Ektefaie Y, Jin Y, Huang Y, Messica S, Cai T, Zitnik M.
ArXiv
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Advancing the Use of Longitudinal Electronic Health Records: Tutorial for Uncovering Real-World Evidence in Chronic Disease Outcomes.
Authors: Huang F, Hou J, Zhou N, Greco K, Lin C, Sweet SM, Wen J, Shen L, Gonzalez N, Zhang S, Liao KP, Cai T, Xia Z, Bourgeois FT, Cai T.
J Med Internet Res
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Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects.
Authors: Han L, Hou J, Cho K, Duan R, Cai T.
J Am Stat Assoc
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Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study.
Authors: Yang D, Zhou D, Cai S, Gan Z, Pencina M, Avillach P, Cai T, Hong C.
JMIR Med Inform
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DOME: Directional medical embedding vectors from Electronic Health Records.
Authors: Wen J, Xue H, Rush E, Panickan VA, Cai T, Zhou D, Ho YL, Costa L, Begoli E, Hong C, Gaziano JM, Cho K, Liao KP, Lu J, Cai T.
J Biomed Inform
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Semi-supervised Triply Robust Inductive Transfer Learning.
Authors: Cai T, Li M, Liu M.
J Am Stat Assoc
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