Yen-Tsung Huang, MD, MPH, SM, ScD is an epidemiologist and statistical geneticist whose research is to build and employ a systematic approach to study cancer genomics by incorporating new biologic discoveries into statistical methodology. Genetic markers can now be easily collected on a genome-wide scale, yet remarkably little is known about how to integrate different genomic data in a knowledge-based way. Such a challenge necessitates the combination of hypothesis-driven and hypothesis-generating research. His solid training in medicine, epidemiology and statistics provides a rich foundation to develop new methods and discoveries in this challenging and exciting area.

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Dr. Huang is an Assistant Professor of Epidemiology at Brown University. Dr. Huang earned a Doctor of Medicine degree from the National Taiwan University, Taiwan. After the two-year military service as a second lieutenant medical officer in the army of Taiwan, Dr. Huang went to Harvard University for Master of Public Health in quantitative methods and Master of Science in biostatistics. Dr. Huang earned dual degree in Doctor of Science in Epidemiology and Biostatistics at Harvard in 2012. His research experience and goals focus on cancer genomics, statistical genetics, high-dimensional mediation analyses and genetic/molecular epidemiology of cancer.

Assistant Professor


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