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Daniel Katz is an Assistant Professor in the Department of Biomedical Informatics Research at Stanford University, specializing in Advanced Heart Failure and Transplant Cardiology. He completed his residency in Internal Medicine at Massachusetts General Hospital and underwent fellowship training in Advanced Heart Failure and Transplant Cardiology at Stanford University. His research interests revolve around identifying the pathophysiologic patterns and mechanisms that lead to the heterogeneous syndrome of heart failure. He leverages high-dimensional data to analyze clinical phenotypes, plasma proteomics, metabolomics, and genetics. Currently, he is engaged in the analysis of multi-omic data as part of the Molecular Transducers of Physical Activity Consortium (MoTrPAC) and the NHLBI Trans-Omics Precision Medicine (TOPMed) Program. His clinical focus includes Cardiac Transplantation, Heart-Assist Devices, and Advanced Heart Failure. Dr. Katz is dedicated to improving patient care through innovative research and clinical practices in cardiology.
Stanford University • Stanford, CA
Researches and teaches in the field of Biomedical Informatics concerning advanced heart failure and transplant cardiology.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.