Postdoctoral Associate
Yale Center of Statistical
Genomics and Proteomics |
Doctrina
Labor scietificus
My broad research interests are motivated by the problems arising in the areas of genetic and nutrition epidemiology.
The special focus is on developing statistical and computational methods for association analysis of complex diseases,
such as cancer, hypertension, diabetes. Several challenges arise.
One is that complex diseases are caused by both genetic and environmental factors, as well as their interaction.
Further, environmental factors, such as nutrient intake, are subject to massive amounts of measurement error.
Additionally, genome-wide scans are increasingly used for associating genetic polymorphisms with risk of complex diseases.
These studies include large arrays of candidate genes and hence it is critical to develop efficient computational techniques
for analysis of such studies with ability to incorporate prior biological information. In what follows I will
summarize my research activities according to different research fields.
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