David Wishart

Professor, Faculty of Science - Biological Sciences


Professor, Faculty of Science - Biological Sciences




  • B.Sc. (First Class Honours), Physics, University of Alberta, 1983
  • M.Phil., Molecular Biophysics & Biochemistry, Yale University, 1986
  • Ph.D., Molecular Biophysics & Biochemistry, Yale University, 1991


Dr. Wishart currently supervises over 40 students, staff and post-doctoral fellows. Since 1990 he has published more than 300 papers and presented over 300 posters/abstracts. He has delivered more than 300 invited lectures all over the world on a variety of topics, including cutting edge bioinformatics tools, drug design, metabolomics, precision medicine, general sequence analysis, gene finding, protein annotation, protein structure analysis, structure prediction, biomedical text mining, cellular simulation, nanobot design and synthetic biology. He is responsible for the creation of metabolomics databases in Edmonton that receive over 20 million hits a year, thus making Edmonton the centre of the world's most influential metabolomics databases. He has developed automated metabolomics profiling software that reduces data processing time by up to 90%. He has also help to pioneer many of the necessary technical, software and database developments to enable metabolomics to enter the scientific mainstream. Dr. Wishart is also the Director of The Metabolomics Innovation Centre (TMIC), which is Canada's national metabolomics platform. He has been cited over 40,000 times and is an inventor on several patents.



Database Systems
Machine Learning


Bioinformatics, analytical chemistry, simulations, computational biology, structural biology.


Dr. Wishart's formal training is in physics, biochemistry, biophysics, pharmaceutical science and computational biology. His research interests lie in: 

  • The development of novel bioinformatics software, databases and algorithms 
  • Analytical chemistry
  • Biological simulation through cellular automata 
  • Protein structure prediction and modelling 
  • The design and construction of biologically based computers and/or robots 
  • Biomedical text mining and biomedical text extraction 

Selected Industry Collaborations and Commercialization 

  • Waters Corporation
  • Bruker
  • IBM
  • Molecular You Corp.
  • Metabolomics Technologies Inc.
  • Agilent 
  • Biocrates
  • ISL Engineering
  • 1st Base Laboratories
  • MRM Proteomics
  • OMx Personal Health Analytics


ECMDB 2.0: A richer resource for understanding the biochemistry of E. coli
Author(s): Sajed, T., Marcu, A., Ramirez, M., Pon, A., Guo, A.C., Knox, C., Wilson, M., Grant, J.R., Djoumbou, Y., Wishart, D.S.
Publication: Nucleic Acids Research
Volume: 44
Issue: D1
Page Numbers: D495-D501
External Link: https://academic.oup.com/nar/article-lookup/doi/10.1093/nar/gkv1060
Emerging applications of metabolomics in drug discovery and precision medicine
Author(s): Wishart, D.S.
Publication: Nature Reviews Drug Discovery
Volume: 15
Page Numbers: 473-484
External Link: http://www.nature.com/nrd/journal/v15/n7/abs/nrd.2016.32.html
Metabolome analysis of 20 taxonomically related benzylisoquinoline alkaloid-producing plants
Author(s): Hagel, J.M., Mandal, R., Han, B., Han, J., Dinsmore, D.R., Borchers, C.H., Wishart, D.S., Facchini, P.J.
Publication: BMC Plant Biology
Volume: 15
Page Numbers: 220
External Link: http://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-015-0594-2
The future of NMR-based metabolomics
Author(s): Markley, J.L., Bruschweiler, R., Edison, A.S., Eghbalnia, H.R, Powers, R., Raftery, D., Wishart, D.S.
Publication: Current Opinion in Biotechnology
Volume: 43
Page Numbers: 34-40
External Link: http://www.sciencedirect.com/science/article/pii/S0958166916301768
Recommendations and standardization of biomarker quantification using NMR-based metabolomics with particular focus on urinary analysis
Author(s): Emwas, A.H., Roy, R., McKay, R.T., Ryan, D., Brennan, L., Tenori, L., Luchinat, C., Gao, X., Zeri, A.C., Gowda, G.A., Raftery, D., Steinbeck, C., Salek, R.M., Wishart, D.S.
Publication: Journal of Proteome Research
Volume: 15
Issue: 2
Page Numbers: 360-373
External Link: http://pubs.acs.org/doi/abs/10.1021/acs.jproteome.5b00885