Dr. David Wishart
Professor, Biological Sciences, University of Alberta; Scientific Co-director, The Metabolomics Innovation Centre (TMIC)
Dr. David Wishart (PhD Yale, 1991) is a Distinguished University Professor in the Departments of Biological Sciences and Computing Science at the University of Alberta. He also holds adjunct appointments with the Faculty of Pharmaceutical Sciences and with the Department of Pathology and Laboratory Medicine. He has been with the University of Alberta since 1995. Dr. Wishart’s research interests are very wide ranging, covering metabolomics, analytical chemistry, drug chemistry, natural product chemistry, molecular biology, protein chemistry and neuroscience. He has developed a number of widely techniques based on NMR spectroscopy, mass spectrometry, liquid chromatography and gas chromatography to characterize the structures of both small and large molecules. As part of this effort, Dr. Wishart has led the “Human Metabolome Project” (HMP), a multi-university, multi-investigator project that is cataloguing all the known chemicals in human tissues and biofluids. Using a variety of analytical chemistry techniques along with text mining and machine learning, Dr. Wishart and his colleagues have identified or found evidence for more than 250,000 metabolites in the human body. This information has been archived on a freely accessible web-resource called the Human Metabolome Database (HMDB). Dr. Wishart has also been using machine learning and artificial intelligence to help create other useful chemistry databases, such as DrugBank, FooDB and ContaminantDB and software tools (such as MetaboAnalyst, CFM-ID and BioTransformer) to help with the characterization and identification of metabolites, drugs, pesticides and natural products. Over the course of his career Dr. Wishart has published more than 500 research papers in high profile journals on a wide variety of subject areas. These papers have been cited >100,000 times.
Dr. David Wishart (PhD Yale, 1991) is a Distinguished University Professor in the Departments of Biological Sciences and Computing Science at the University of Alberta. He also holds adjunct appointments with the Faculty of Pharmaceutical Sciences and with the Department of Pathology and Laboratory Medicine. He has been with the University of Alberta since 1995. Dr. Wishart’s research interests are very wide ranging, covering metabolomics, analytical chemistry, drug chemistry, natural product chemistry, molecular biology, protein chemistry and neuroscience. He has developed a number of widely techniques based on NMR spectroscopy, mass spectrometry, liquid chromatography and gas chromatography to characterize the structures of both small and large molecules. As part of this effort, Dr. Wishart has led the “Human Metabolome Project” (HMP), a multi-university, multi-investigator project that is cataloguing all the known chemicals in human tissues and biofluids. Using a variety of analytical chemistry techniques along with text mining and machine learning, Dr. Wishart and his colleagues have identified or found evidence for more than 250,000 metabolites in the human body. This information has been archived on a freely accessible web-resource called the Human Metabolome Database (HMDB). Dr. Wishart has also been using machine learning and artificial intelligence to help create other useful chemistry databases, such as DrugBank, FooDB and ContaminantDB and software tools (such as MetaboAnalyst, CFM-ID and BioTransformer) to help with the characterization and identification of metabolites, drugs, pesticides and natural products. Over the course of his career Dr. Wishart has published more than 500 research papers in high profile journals on a wide variety of subject areas. These papers have been cited >100,000 times.
