
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
Identifying surrogate markers in real-world comparative effectiveness research.
A semi-supervised adaptive Markov Gaussian embedding process (SAMGEP) for prediction of phenotype event times using the electronic health record.
SurvMaximin: Robust federated approach to transporting survival risk prediction models.
Authors: Wang X, Zhang HG, Xiong X, Hong C, Weber GM, Brat GA, Bonzel CL, Luo Y, Duan R, Palmer NP, Hutch MR, Gutiérrez-Sacristán A, Bellazzi R, Chiovato L, Cho K, Dagliati A, Estiri H, García-Barrio N, Griffier R, Hanauer DA, Ho YL, Holmes JH, Keller MS, Klann MEng JG, L'Yi S, Lozano-Zahonero S, Maidlow SE, Makoudjou A, Malovini A, Moal B, Moore JH, Morris M, Mowery DL, Murphy SN, Neuraz A, Yuan Ngiam K, Omenn GS, Patel LP, Pedrera-Jiménez M, Prunotto A, Jebathilagam Samayamuthu M, Sanz Vidorreta FJ, Schriver ER, Schubert P, Serrano-Balazote P, South AM, Tan ALM, Tan BWL, Tibollo V, Tippmann P, Visweswaran S, Xia Z, Yuan W, Zöller D, Kohane IS, Avillach P, Guo Z, Cai T.
J Biomed Inform
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J Biomed Inform
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Weakly Semi-supervised phenotyping using Electronic Health records.
Authors: Nogues IE, Wen J, Lin Y, Liu M, Tedeschi SK, Geva A, Cai T, Hong C.
J Biomed Inform
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J Biomed Inform
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Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling.
Authors: Gronsbell J, Liu M, Tian L, Cai T.
J R Stat Soc Series B Stat Methodol
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J R Stat Soc Series B Stat Methodol
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Patterns of Utilization and Expenditure Across Multiple Sclerosis Disease-Modifying Therapies: A Retrospective Cohort Study Using Claims Data from a Commercially Insured Population in the United States, 2010-2019.
Authors: Zhu W, Tang X, Heyman RA, Cai T, Suh K, Seeger JD, Xia Z.
Neurol Ther
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Neurol Ther
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Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review.
Authors: Cai T, He Z, Hong C, Zhang Y, Ho YL, Honerlaw J, Geva A, Ayakulangara Panickan V, King A, Gagnon DR, Gaziano M, Cho K, Liao K, Cai T.
J Biomed Inform
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J Biomed Inform
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Comorbidity influences the comparative safety of biologic therapy in older adults with inflammatory bowel diseases.
Authors: Cheng D, Kochar B, Cai T, Ritchie CS, Ananthakrishnan AN.
Am J Gastroenterol
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Am J Gastroenterol
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Semi-supervised approach to event time annotation using longitudinal electronic health records.
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
Authors: Zhang HG, Dagliati A, Shakeri Hossein Abad Z, Xiong X, Bonzel CL, Xia Z, Tan BWQ, Avillach P, Brat GA, Hong C, Morris M, Visweswaran S, Patel LP, Gutiérrez-Sacristán A, Hanauer DA, Holmes JH, Samayamuthu MJ, Bourgeois FT, L'Yi S, Maidlow SE, Moal B, Murphy SN, Strasser ZH, Neuraz A, Ngiam KY, Loh NHW, Omenn GS, Prunotto A, Dalvin LA, Klann JG, Schubert P, Vidorreta FJS, Benoit V, Verdy G, Kavuluru R, Estiri H, Luo Y, Malovini A, Tibollo V, Bellazzi R, Cho K, Ho YL, Tan ALM, Tan BWL, Gehlenborg N, Lozano-Zahonero S, Jouhet V, Chiovato L, Aronow BJ, Toh EMS, Wong WGS, Pizzimenti S, Wagholikar KB, Bucalo M, Cai T, South AM, Kohane IS, Weber GM.
NPJ Digit Med
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NPJ Digit Med
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