School of Medicine
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Daniel Mas Montserrat
Postdoctoral Research Fellow, Biomedical Data Sciences
Bio Daniel Mas Montserrat holds a PhD in Electrical and Computer Engineering from Purdue University. Previously he graduated summa cum laude from the Polytechnic University of Catalonia in Audiovisual Systems in Telecommunications Engineering. Currently, he is a research fellow at the Stanford School of Medicine (Department of Biomedical Data Science). His research focuses on applying computational methods to problems in population genetics and biomedicine.
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Mark Musen
Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly Interests It's important to ensuring that experimental data?and descriptions of the methods used to generate and analyze the data?are available online. Our laboratory studies methods for creating more comprehensive metadata descriptions both of data and of experiments that can be processed both by other scientists and by computers. We are also working to clean up legacy data and metadata to facilitate open science broadly. Other work focuses on management of knowledge using knowledge graphs.