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
Geometric Features Associated with Middle Cerebral Artery Bifurcation Aneurysm Formation: A Matched Case-Control Study.
Authors: Zhang J, Can A, Lai PMR, Mukundan S, Castro VM, Dligach D, Finan S, Gainer VS, Shadick NA, Savova G, Murphy SN, Cai T, Weiss ST, Du R.
J Stroke Cerebrovasc Dis
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J Stroke Cerebrovasc Dis
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Semisupervised Calibration of Risk with Noisy Event Times (SCORNET) using electronic health record data.
Comparative Risk of Thrombotic and Cardiovascular Events with Tofacitinib and Anti-TNF Agents in Patients with Inflammatory Bowel Diseases.
Risk of Infections With Ustekinumab and Tofacitinib Compared to Tumor Necrosis Factor a Antagonists in Inflammatory Bowel Diseases.
Authors: Cheng D, Kochar BD, Cai T, Ananthakrishnan AN.
Clin Gastroenterol Hepatol
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Clin Gastroenterol Hepatol
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Individual Data Protected Integrative Regression Analysis of High-Dimensional Heterogeneous Data.
Temporal trends of multiple sclerosis disease activity: Electronic health records indicators.
Authors: Liang L, Kim N, Hou J, Cai T, Dahal K, Lin C, Finan S, Savovoa G, Rosso M, Polgar-Tucsanyi M, Weiner H, Chitnis T, Cai T, Xia Z.
Mult Scler Relat Disord
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Mult Scler Relat Disord
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Testing for heterogeneity in the utility of a surrogate marker.
Authorship Correction: International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study.
Authors: Weber GM, Zhang HG, L'Yi S, Bonzel CL, Hong C, Avillach P, Gutiérrez-Sacristán A, Palmer NP, Tan ALM, Wang X, Yuan W, Gehlenborg N, Alloni A, Amendola DF, Bellasi A, Bellazzi R, Beraghi M, Bucalo M, Chiovato L, Cho K, Dagliati A, Estiri H, Follett RW, García Barrio N, Hanauer DA, Henderson DW, Ho YL, Holmes JH, Hutch MR, Kavuluru R, Kirchoff K, Klann JG, Krishnamurthy AK, Le TT, Liu M, Loh NHW, Lozano-Zahonero S, Luo Y, Maidlow S, Makoudjou A, Malovini A, Martins MR, Moal B, Morris M, Mowery DL, Murphy SN, Neuraz A, Ngiam KY, Okoshi MP, Omenn GS, Patel LP, Pedrera Jiménez M, Prudente RA, Samayamuthu MJ, Sanz Vidorreta FJ, Schriver ER, Schubert P, Serrano Balazote P, Tan BW, Tanni SE, Tibollo V, Visweswaran S, Wagholikar KB, Xia Z, Zöller D, Kohane IS, Cai T, South AM, Brat GA.
J Med Internet Res
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J Med Internet Res
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Risk prediction with imperfect survival outcome information from electronic health records.
Comparison of Dimethyl Fumarate vs Fingolimod and Rituximab vs Natalizumab for Treatment of Multiple Sclerosis.
Authors: Hou J, Kim N, Cai T, Dahal K, Weiner H, Chitnis T, Cai T, Xia Z.
JAMA Netw Open
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JAMA Netw Open
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