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  • Use of microfluidic technology to study the placenta and other reproductive tissues at single cell resolution
  • Characterize the cell-type composition of the different placental compartments and the molecular underpinnings of the maternal-fetal dialog during pregnancy
  • Develop novel computational tools and statistical models to analyze the gene expression signatures and the epigenomic profiles of placental tissues obtained from pregnancies with and without obstetrical complications
  • In collaboration with the other units (Bioinformatics, Immunology, Microbiology) generate a comprehensive longitudinal multi-omics characterization of human pregnancy to develop better biomarkers to facilitate early detection of the major obstetrical syndromes
  • Study the effects of genetic variants on molecular phenotypes, and use Mendelian randomization and mediation analysis to dissect the causal pathway between altered gene expression and pregnancy related phenotypes