Integration Platform - The mitoCODE
mitoNET.ca is committed to the principles of open innovation with data sharing and collaboration across member research centres, diseases and research technologies. Critical to the operationalization of these principles will be the creation of “mitoCODE”, a comprehensive data management platform for collecting, federating, sharing and analyzing the complex and diverse data generated in mitoNET.ca research programs.
The Mitocode in this platform would be generated with collaboration with our partners: Indoc research, IBM, Key-SFU Big Data and DNAstack.
Kenneth R. Evans, PhD, President and CEO
Department of Pathology and Laboratory Medicine, Queen's University
Department of Psychiatry, University of Toronto
Dr. Evan has over 15 years of pharmaceutical industry experience, during which he led global drug developmental programs in a number of therapeutic areas. Dr. Evans has been instrumental in the start-up and implementation of several major collaborative (industry/academia) research initiatives, including collaborative projects aimed at refining diagnostic definitions, and at predicting drug/placebo response. Dr. Evans has also been involved in a number of translational biomarker research projects, including the use of imaging for the purpose of predicting drug response and various proteomic and genomic biomarker discovery and development programs in cancer.
Mojib Javadi, PhD
Manager, Scientific Program Development and Molecular Lead, Indoc Research
At Indoc Research, Mojib works with investigators from partner organizations to develop provincial and federal grants for new data management and informatics technologies and solutions. He is the project manager for funded collaborative projects with partner academic groups and focuses on the implementation of molecular data management, strategy and functions. Mojib holds a PhD in Molecular Cancer Biology from the University of Toronto. his doctoral work focused on hematopoiesis and myeloid leukemias. Mojib was funded by NSERC for an industry post-doctoral fellowship with Lorus Therapeutics where he developed small molecular kinase inhibitors targeting solid tumours. Mojib was the Management Fellow at Ontario Brain Institute, working on data standardization efforts and developing potential informatics sustainability models. Mojib like staying active, and getting outside as much as he can, including everything from hiking to triathlons. He particularly enjoys cycling, especially if there is a beer stop at the end.
Jim Vlasblom, PhD
Chief Technology Officer
James received his PhD in Biochemistry from the University of Toronto, where he developed various applications of machine learning algorithms to large biological datasets. His expertise combines machine learning, computer science, and biology. James is a full-stack software engineer and leads technical development and best practices at DNAstack
Marc Fiume, PhD
Chief Executive Director and Co-founder
Marc received his PhD in Computer Science from the University of Toronto, where he developed novel techniques for genomic data storage, analysis, and visualization. He has developed a number of end-user genomics applications, including one of the first and most widely used genome browsers for next-generation sequencing data.
Marc is an advocate for privacy, security, and sharing of genomic datasets. Marc leads the Discovery Workstream for the Global Alliance for Genomics & Health. He chairs the Beacon Project which has quickly grown to become one of the largest single resources for genomic data sharing in the world.
Paulo Nuin, PhD
Adjunct Assistant Professor, University of Alberta
Dr. Nuin has more than 15 years of Bioinformatics and Computational Biology research and has worked across Canada in a multitude of topics in the field. From genomics and proteomics to metabolomics, his work is based on creating and developing tools and analytical methods to improve the work translation from the bench to the computer. He has been involved in projects that span from cancer biology to microbiology, using techniques such as microarrays and next-generation sequencing. More recently Dr. Nuin has a specific interest in mitochondrial genome analysis, for both research and clinical diagnostics, and has worked the past four years on applications geared to improve workflow and analysis of this genome.