YL Research Lab is divided into four main domains:

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1. Mathematical immunology:

We study the adaptive immune response through the repertoire of expressed receptors and the repertoire of expressed epitopes. We use machine learning tools to compute predicted (mainly CD8 T cell) epitopes and the relation between the presentation of these epitopes on viruses and cancer cells and the evolution of viral/tumor population.

We use tools from ecology and evolution to understand the diversity of the human B and T cell response and the relation between this diversity and the immune response to pathogens. This analysis is performed in collaboration with leading labs in Europe and the US.

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2. Population dynamics:

We study stochastic population dynamics of meta populations. This analysis is mainly focused on the human HLA locus. We study the population genetics of human sub-population and the selection forces affecting HLA alleles and haplotypes. This is performed in collaboration with the NMDP.

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3. Stochastic processes:

We study spatially extended birth death processes and the macroscopic effect of fluctuations on ecological and financial systems.

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4. Meta data based machine Learning:

We use machine learning to extract information on processes from meta data. A main focus of this research is to extract information on the content of nodes from network attributes.