The research in our lab mainly focuses on the development of computational tools for the analysis of genetic data; we are mostly interested in the development of tools that enable and facilitate genetic studies of common complex diseases, such as cancer, cardiovascular diseases, or type 2 Diabetes. These studies shed important light on the biological mechanisms of these diseases, and they will pave the way to improved diagnosis and a personalize treatment based on an individual's genetics.

In more technical terms, we develop methods for the analysis of genetic variants, such as single nucleotide polymorphisms (SNPs) or sequenced DNA and RNA using the high-throughput sequencing and genotying technologies. In genetic studies, these data are typically collected from a population interest (e.g., a population of cases carrying the disease), and we develop the methodology for the design and analysis of these studies.

Our activities touch upon a wide range of disciplines, including combinatorial and optimization algorithms, machine learning, statistical genetics, population genetics, and bioinformatics. We are working closely with many groups of epidimiologists and geneticists around the world on genetic studies of different diseases, among those are Non-Hodgkin's Lymphoma, breast cancer, and cardiovascular diseases.

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