Our Business Name
Michabo is a cultural hero of the Anishinabek (First Nation in North America) referred to as the Great Hare. There is a well known myth of Michabo rebuilding the earth after a great flood. In the modern world, we are equating the flood of ancient legends to the “flood” of man-made chemicals.
We apply new techniques, new discoveries and new ideas to help overcome the current levels of uncertainty at assessing health risks caused by exposure to chemicals. Our mission is sustainability, by helping our customers to better understand the root causes of exposure-related harm, so that chemical toxicity can be prevented, and remedies can be found to support health and economic growth.
Precision toxicology uses data-rich ‘non-targeted’ technologies and machine learning that cost less and inform more than existing methods at understanding health hazards. Simultaneously, we are developing international compliance standards for the application of these technologies in regulatory toxicology.
Ben, Mark and John are Michabo founders and also Professors at the University of Birmingham, UK, leading active research laboratories specializing in multi-omics and precision environmental health. Michabo works closely with our customers to intersect ground-breaking research developments with specific chemical safety challenges, thereby delivering precision toxicology solutions.
Ben Brown specializes in statistics including machine learning theory, methodologies, and algorithms for solving high-dimensional data problems. Precision toxicology is made possible by 'explainable' artificial intelligence (AI), which allows our customers to go beyond merely improving predictive models using large data sets. Explainable AI allows an understanding of why predictions are possible, so to offer solutions to real-world environmental problems.
Mark Viant specializes in metabolomics, having also served as president of the international Metabolomics Society. Precision toxicology is made possible by the technological developments that deliver metabolic signatures of exposure-related health hazards. Coupled to other non-targeted omics data (e.g. transcriptomics), metabolomics allows the rapid discovery of a chemical's modes of action, so to improve certainty in 'chemical read across' and their safe use.
John Colbourne specializes in environmental genomics and the study of model species using an evolutionary perspective for ‘species read across’ and other applications in environmental health sciences. Precision toxicology is made possible by predicting the impacts that chemicals and pollution have on animals, including humans, by molecular response pathways (including key event biomarkers) that are shared among species by evolutionary descent.