Hayat Lab in Translational Data Science

Institute of Experimental Medicine and Systems Biology, Uniklinik RWTH Aachen
Contact: shayatukaachende

Single-cell and spatial technologies are paving the way to understand human health, disease and aging at unprecedented resolution. How can we best leverage diverse multi-omics data to generate testable hypothesis and contribute to developing optimal precision therapies and biomarkers for human disease conditions?

Hayat lab is a new and interdisciplinary computational lab at the Institute of Experimental Medicine and Systems Biology, UniKlinik Aachen. Our group focuses on developing computational tools for systematically analyzing, interpreting and visualizing data from single-cell technologies such as single-cell transcriptomics, spatial transcriptomics and high-content imaging.

A key theme in our lab is to develop scalable and efficient tools to leverage data from millions of single-cells to understand disease, health and aging. Some of the research areas we are working on include:  

  • Identifying novel targets and biomarkers for fibrosis in kidney and heart,
  • Understand mechanisms of heart failure at single-cell resolution,
  • Elucidate processes involved in aging at single-cell resolution,
  • Prioritize high-impact mutations in cardio-renal disease,
  • Develop tools for automated cell-type annotation, multi-omics data integration, and interactive data visualization

We work in very close collaboration with medical doctors and experimentalists in the Krammanlab (www.kramannlab.com) at UniKlinik RWTH Aachen.

Join our team:

We are continuously looking for talented postdocs and PhD students with a strong background in programming and machine learning. Additionally, multiple Master thesis student positions are available. If you are interested please send your CV and a letter of intent to Dr. Sikander Hayat at shayatukaachende