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

617-432-4923
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
An efficient landmark model for prediction of suicide attempts in multiple clinical settings.
Authors: Sheu YH, Sun J, Lee H, Castro VM, Barak-Corren Y, Song E, Madsen EM, Gordon WJ, Kohane IS, Churchill SE, Reis BY, Cai T, Smoller JW.
Psychiatry Res
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Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?
Authors: Tan ALM, Getzen EJ, Hutch MR, Strasser ZH, Gutiérrez-Sacristán A, Le TT, Dagliati A, Morris M, Hanauer DA, Moal B, Bonzel CL, Yuan W, Chiudinelli L, Das P, Zhang HG, Aronow BJ, Avillach P, Brat GA, Cai T, Hong C, La Cava WG, Hooi Will Loh H, Luo Y, Murphy SN, Yuan Hgiam K, Omenn GS, Patel LP, Jebathilagam Samayamuthu M, Shriver ER, Shakeri Hossein Abad Z, Tan BWL, Visweswaran S, Wang X, Weber GM, Xia Z, Verdy B, Long Q, Mowery DL, Holmes JH.
J Biomed Inform
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Multimodal representation learning for predicting molecule-disease relations.
Authors: Wen J, Zhang X, Rush E, Panickan VA, Li X, Cai T, Zhou D, Ho YL, Costa L, Begoli E, Hong C, Gaziano JM, Cho K, Lu J, Liao KP, Zitnik M, Cai T.
Bioinformatics
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Using a surrogate with heterogeneous utility to test for a treatment effect.
Authors: Parast L, Cai T, Tian L.
Stat Med
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Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium.
Authors: Moal B, Orieux A, Ferté T, Neuraz A, Brat GA, Avillach P, Bonzel CL, Cai T, Cho K, Cossin S, Griffier R, Hanauer DA, Haverkamp C, Ho YL, Hong C, Hutch MR, Klann JG, Le TT, Loh NHW, Luo Y, Makoudjou A, Morris M, Mowery DL, Olson KL, Patel LP, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Verdy G, Visweswaran S, Wang X, Weber GM, Xia Z, Yuan W, Zhang HG, Zöller D, Kohane IS, Boyer A, Jouhet V.
PLoS One
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Hospitalizations Associated With Mental Health Conditions Among Adolescents in the US and France During the COVID-19 Pandemic.
Authors: Gutiérrez-Sacristán A, Serret-Larmande A, Hutch MR, Sáez C, Aronow BJ, Bhatnagar S, Bonzel CL, Cai T, Devkota B, Hanauer DA, Loh NHW, Luo Y, Moal B, Ahooyi TM, Njoroge WFM, Omenn GS, Sanchez-Pinto LN, South AM, Sperotto F, Tan ALM, Taylor DM, Verdy G, Visweswaran S, Xia Z, Zahner J, Avillach P, Bourgeois FT.
JAMA Netw Open
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Identifying surrogate markers in real-world comparative effectiveness research.
Authors: Han L, Wang X, Cai T.
Stat Med
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A semi-supervised adaptive Markov Gaussian embedding process (SAMGEP) for prediction of phenotype event times using the electronic health record.
Authors: Ahuja Y, Wen J, Hong C, Xia Z, Huang S, Cai T.
Sci Rep
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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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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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