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Xujing Wang, Ph.D.

Photo of Xujing Wang
Data science; computation modeling; integrative genomics; network biology; genotype-phenotype relationship

Responsibilities & Activities

As the program director for data science and computational biomodelling, I manage a research portfolio of projects that develop methods and tools that enable the utilization of data science in, that utilize high-throughput (Big) data in, and that develop computational, or joint computational and laboratory approaches to model biological processes relevant to, diabetes and metabolic disease research, or any other area of disease or biology of relevance to the DEM mission.

I am also the program director for HIRN-CBDS, HIRN-HPAP, dkNET, and co-program director for TEDDY.

Research Programs

Bioengineering, Biotechnology, & Imaging as applied to Diabetes, Metabolic, & Endocrine Diseases
Cutting-edge technologies and integrated approaches that treat and elucidate the underlying mechanisms of endocrine and metabolic diseases, including diabetes.

Diabetes Genetics & Genomics
Genetic mechanisms underlying type 1 and type 2 diabetes and how genetic and epigenetic variation influences the metabolism of therapeutics.

Endocrine Pancreas
Biology, development, and function of the endocrine pancreas and clinical studies on islet transplantation for type 1 diabetes treatment.

Metabolism, Energy Balance & Obesity
Basic studies in non-human animals related to the neural control of energy balance and weight gain, loss and maintenance.