Professor, University of British Columbia
Email Address: email@example.com
Bio: Dr. Steven Hallam is a University of California Santa Cruz and MIT trained molecular biologist, microbial ecologist, entrepreneur, and innovator with over 20 years experience in field and laboratory research at disciplinary interfaces. He is a Professor in the Department of Microbiology and Immunology, former Canada Research Chair in Environmental Genomics and a Leopold Leadership Fellow. He is also a program faculty member in the Bioinformatics and Genome Sciences and Technology training programs at UBC.
Dr. Hallam directs the ECOSCOPE innovation ecosystem consisting of an NSERC CREATE training program, a research network, a core facility for high-throughput screening and a curriculum development initiative in data science based on four research and training pillars: i) microbial ecology, ii) biological engineering, iii) data science, and iv) networking and entrepreneurship. His research intersects these program pillars with specific emphasis on the creation of functional screens and computational tools that reveal hidden metabolic powers of uncultivated microbial communities with direct application to biocatalyst discovery and pathway engineering.
Professor, Department of Applied Mathematics, University of Waterloo
Email Address: firstname.lastname@example.org
Bio: Our group uses mathematical and computational tools to construct and analyse kinetic models of biomolecular systems. Our current projects are primarily focused on model-based design of synthetic bacterial gene regulatory systems.
Professor, University of Ottawa
Bio: I believe that Synthetic Biology will continue to play a significant role in medical innovation, including engineered virus and engineered immune cells that can cure cancer. I have been part of the Synthetic Biology community since the early 00' and started working in the field with Dr. James Collins on sources of "noisy" signals in gene expression and the engineering of programable cell behaviour by creating "plug-ins" for interfacing synthetic gene networks and natural signalling pathways. To facilitate medical advances, I am member of the Cancer Therapeutics Program at the Ottawa Hospital Research Institute and the Regional Genetics Program at the Children's Hospital of Eastern Ontario.
My NSERC-funded Synthetic Biology program uses an integrated genetic network engineering approach to study gene regulatory processes and develop artificial gene control systems. This program is driven by my long-term passion to understand how genomes encode "programs" that control and coordinate cellular behaviour and organismal development and fail during disease. This involves both foundational and applied research, including DNA assembly methods, artificial transcription factors, biological network design, systems modelling and simulation.
I initiated the uOttawa iGEM undergraduate training program soon after I arrived in Ottawa and have been the organizer and the supervisor of the uOttawa iGEM team. Many iGEM team members have continued as graduate students in my program subsequently moved to world-leading institutions including MIT, Cambridge, Harvard and NYU.
Professor, Associate Chair & Graduate Studies Coordinator, University of Toronto
Email Address: email@example.com
Bio: Our group primarily works on engineering metabolism in bacteria and yeast to produce chemicals and therapeutic molecules. Through the use of computational strategies on genome scale metabolic models of these organisms, we identify genetic intervention strategies to enhance target molecule production. Synthetic biological tools help us assemble and engineer pathways in microorganisms. We use synthetic gene regulatory circuits to dynamically control metabolism in host organisms. The ability to dynamically control metabolism based on environmental inputs finds application in a variety of different areas including therapeutics and industrial biotechnology.
Associate Professor, University of Toronto Mississauga
Email Address: firstname.lastname@example.org
Bio: We work on (mainly) microbial synthetic biology, investigating ways to create novel solutions to real-world problems with engineered microbes. We pursue several parallel tracks: (1) Combined theoretical and experimental approaches to biological feedback and synthetic implementations of networks that maintain fixed outputs in the face of external disturbances; (2) Expanding the synthetic biology "toolkit" to include novel modes of regulation (including a recruitable T7-based activation system that provides a system to generate programmable, orthogonal sets of transcriptional activators in bacteria); and (3) the motivation for the other two tracks: application to real-world problems including human health in the developed world (working with a multi-PI team on sensing and responding to inflammatory bowel diseases using engineered microbes) and in the developing world (implementing microbe-based antibody detection in blood samples, for low-cost blood screening or diagnosis).
Professor, Wilfrid Laurier University
Bio: My work is about gene-product interactions, which can be represented as networks and modules. It has potential for application in synthetic biology since it can show how modules doing similar things have evolved, thus how we might be able to engineer them, avoid cross-talk, etc.
Professor, Concordia University
Bio: We aim to engineer reliable synthetic gene circuits suitable for impactful applications, and to use them as models and tools to learn more about biology. We use quantitative approaches, combining microfluidics to precisely control the experimental conditions with theory to engineer highly precise circuits that could be used in future applications. Building biology from the bottom-up will enable us to understand biology better, for example because engineering such circuits can reveal broader challenges in a tractable context.
Professor, Université de Sherbrooke
Email Address: email@example.com
Bio: My laboratory is mainly interested in microbial systems and synthetic biology. We use and develop cutting-edge approaches to understand and engineer bacterial cells. We use two model organisms: the near-minimal Mesoplasma florum, and the laboratory workhorse Escherichia coli. Our goal is not only to advance fundamental knowledge but also to propose innovative solutions to address the major challenges of this century.