Alexander Tsankov, PhD
About Me
The Tsankov lab’s overall vision is to use genomics to build data-driven, predictive models that improve diagnosis, find new drugable pathways, and personalize treatment of patients with lung cancer and respiratory diseases. We utilize state-of-the-art single cell transcriptomic, epigenetic, and spatial technologies on clinical samples from patients and advanced computational analysis with the goal of unraveling the underlying regulatory mechanisms in normal lung tissue homeostasis and lung disease. Of particular interest is how the interactions of the lung epithelium with the immune and stromal microenvironment change between normal and diseased states. For more information, please the visit the Tsankov Laboratory
Language
Position
Research Topics
Biomedical Informatics, Cancer, Clinical Genomics, Computational Biology, Epigenomics, Lung, Regeneration, Stem Cells
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Cancer Biology [CAB], Development Regeneration and Stem Cells [DRS], Genetics and Genomic Sciences [GGS]
About Me
The Tsankov lab’s overall vision is to use genomics to build data-driven, predictive models that improve diagnosis, find new drugable pathways, and personalize treatment of patients with lung cancer and respiratory diseases. We utilize state-of-the-art single cell transcriptomic, epigenetic, and spatial technologies on clinical samples from patients and advanced computational analysis with the goal of unraveling the underlying regulatory mechanisms in normal lung tissue homeostasis and lung disease. Of particular interest is how the interactions of the lung epithelium with the immune and stromal microenvironment change between normal and diseased states. For more information, please the visit the Tsankov Laboratory
Language
Position
Research Topics
Biomedical Informatics, Cancer, Clinical Genomics, Computational Biology, Epigenomics, Lung, Regeneration, Stem Cells
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Cancer Biology [CAB], Development Regeneration and Stem Cells [DRS], Genetics and Genomic Sciences [GGS]