Alicia Lundby

Alicia Lundby is Professor of Cardiac Proteomics at the University of Copenhagen. She trained in Physics-Biophysics from the University of Copenhagen and during her pre- and post graduate studies she received training at University of California in San Diego, The RIKEN Brain Science Institute in Japan and at The Broad Institute of Harvard and MIT. She was trained in quantitative phosphoproteomics strategies as a post doctoral fellow at the NNF Center for Protein Research, where she is still affiliated. She established an independent research group in 2015, where her interests in deep proteomics investigation were combined with cardiac electrophysiology and multi-omic data integration. Her research is focused on uncovering molecular mechanisms underlying heart disease. Her group has established methods to quantify protein abundances and signaling pathways for thousands of proteins at a time directly in heart tissue, which enable data-driven strategies to identify dysregulated proteins and signaling networks in cardiac disease states. The emphasis of her group is to apply unbiased large-scale experimental approaches combining state-of-the-art proteomics and orthogonal approaches (such as human population genomics or single cell transcriptomics) to  explore the cardiac protein landscape to identify novel proteins of key importance in cardiac pathophysiology. Alicia Lundby is Professor of Cardiac Proteomics at the University of Copenhagen. She trained in Physics-Biophysics from the University of Copenhagen and during her pre- and post graduate studies she received training at University of California in San Diego, The RIKEN Brain Science Institute in Japan and at The Broad Institute of Harvard and MIT. She was trained in quantitative phosphoproteomics strategies as a post doctoral fellow at the NNF Center for Protein Research, where she is still affiliated. She established an independent research group in 2015, where her interests in deep proteomics investigation were combined with cardiac electrophysiology and multi-omic data integration. Her research is focused on uncovering molecular mechanisms underlying heart disease. Her group has established methods to quantify protein abundances and signaling pathways for thousands of proteins at a time directly in heart tissue, which enable data-driven strategies to identify dysregulated proteins and signaling networks in cardiac disease states. The emphasis of her group is to apply unbiased large-scale experimental approaches combining state-of-the-art proteomics and orthogonal approaches (such as human population genomics or single cell transcriptomics) to  explore the cardiac protein landscape to identify novel proteins of key importance in cardiac pathophysiology.