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Lu Tang

Assistant Professor, Biostatistics

Contact

7124 Public Health, 130 DeSoto Street, Pittsburgh, PA 15261
R-znvy: yhgnat@cvgg.rqh
Primary Phone: 967-838-5151
Web site:


Personal Statement

I am interested in developing statistical methods for integrative data analysis that combines data sets from multiple sources or knowledge of different types to achieve higher power, also known as data integration. My current research focuses on fusion learning and distributed computing that support the detection of heterogeneous subpopulations and differential (treatment) effects in large scale data analyses. I also develop methods and tools for analyzing high-dimensional metabolomic data, accelerometer data and epigenetic data, with the goals of statistical inference, prediction, and cluster detection. Most of my work is inspired by and closely related to applications in bioinformatics, clinical trials, environmental health sciences, and nutritional sciences.


Education

2018 | University of Michigan, Ann Arbor, MI | PhD in Biostatistics

2013 | University of Virginia, Charlottesville, VA | MS in Statistics

2012 | University of Virginia, Charlottesville, VA | BA in Mathematics

 

Lu  Tang
© 2018 by University of Pittsburgh Graduate School of Public Health

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