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
Stratification of Alzheimer's disease patients using knowledge-guided unsupervised latent factor clustering with electronic health record data.
Authors: Wang L, Venkatesh S, Morris M, Li M, Srivastava R, Visweswaran S, Lopez OL, Xia Z, Cai T.
Commun Med (Lond)
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Phenotypic prediction of missense variants via deep contrastive learning.
Authors: Wen J, Zeng S, Bonzel CL, Kobren SN, Du J, Chai Y, Wang H, Zhu M, Chen S, Leng F, Zhang HG, Liao KP, Cho K, Kohane IS, Zitnik M, Pereira AC, Liu JS, Cai T.
Nat Biomed Eng
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Inferring Rheumatoid Arthritis Disease Activity Status From the Electronic Health Records Across Health Systems.
Authors: Cheng D, Wang X, McDermott GC, Hanberg JS, Love Z, Zhong K, Jeffway M, Hou J, Panickan V, Sangar R, Qi Y, Melley C, Costa L, Feil D, Matty R, Weisenfeld D, Animashaun A, Schreiner A, Morini S, Rusnak L, Cagan A, Paudel M, Gaziano JM, Sauer B, Weinblatt M, Baker J, England B, Ho YL, Cho K, Monach P, Cannon GW, Shadick N, Mikuls TR, Cai T, Liao KP.
Arthritis Rheumatol
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Representation learning to advance multi-institutional studies with electronic health record data from US and France.
Authors: Zhou D, Tong H, Wang L, Liu S, Xiong X, Gan Z, Romain G, Hejblum BP, Liu YC, Hong C, Bonzel CL, Cai T, Pan K, Ho YL, Costa L, A Panickan V, Gaziano JM, Mandl KD, Jouhet V, Thiebaut R, Xia Z, Cho K, Liao K, Cai T.
Nat Commun
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Leveraging electronic health records to examine differential clinical outcomes in people with Alzheimer's disease.
Authors: Venkatesh S, Wang L, Morris M, Moro M, Srivastava R, Han Y, Patira R, Berman S, Lopez OL, Visweswaran S, Cai T, Cai T, Xia Z.
Commun Med (Lond)
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A weakly supervised transformer for rare disease diagnosis and subphenotyping from EHRs with pulmonary case studies.
Authors: Greco KF, Yang Z, Li M, Tong H, Morini Sweet S, Geva A, Mandl KD, Raby BA, Cai T.
NPJ Digit Med
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Scaling medical AI across clinical contexts.
Authors: Li MM, Reis BY, Rodman A, Cai T, Dagan N, Balicer RD, Loscalzo J, Kohane IS, Zitnik M.
Nat Med
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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.
BMC Psychiatry
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The "Clinical Topics" from the Electronic Health Record of Patients with Rheumatoid Arthritis Before Initiating Targeted Therapies and Association with Future Treatment Course.
Authors: Tang J, Weisenfeld D, Wang L, Jeffway M, Cagan A, Bonzel CL, McDermott GC, Cai T, Liao KP.
ACR Open Rheumatol
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Integrated analysis for electronic health records with structured and sporadic missingness.
Authors: Tan J, Zhang Y, Hong C, Cai TT, Cai T, Zhang AR.
J Biomed Inform
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