Dr. Sami Houry leads Institutional Data Analysis at Athabasca University. He holds a BSc in physics from the University of Toronto (1997), an MBA from Memorial University of Newfoundland (2000), and a certified analytics and insights professional designation from CAIP Canada. In 2018, he earned his doctorate from Athabasca University.
Currently working as a researcher and data analyst at the Grenoble Ecole de Management in France, Kariappa Bheemaiah‘s previous experiences include working as a marine engineer, a French foreign legionnaire, and as a business professional.
Glenn Smith, P.Eng., is a University of Waterloo engineering graduate.
Dr. Ola Tjornbo is Assistant Professor in the School of Leadership Studies at University of New Brunswick.and the Principal for Archipelago Consultants. Ola has a PhD in Global Governance from the Balsillie School of International Affairs looking at the role of social media networks in governance.
Kevin Yeung leads a team of 10+ advisors that translates between technical, economic, financial, and commercial factors to advise clients on key decisions that support sustainable infrastructure planning, investment and delivery
Mark Damm, Founder and CEO of FuseForward, has over twenty-five years of experience implementing and operating complex systems for critical infrastructure providers. As an experienced Systems Architect, Mark is passionate about technology for the utility sector.
He is a noted subject matter expert in the critical infrastructure field, regularly speaking and writing on asset management systems, cybersecurity and the industrial Internet of Things at industry and academic conferences. Mark is focused on using his experience to help critical infrastructure providers move towards a digital future, with expertise across cloud, intelligent systems, real-time analytics, cybersecurity, machine learning, streaming data, automation and much more.
David Edwards, CEO of Purpose Built Communities, is interested in how complexity science can be applied to redefine how the problem of intergenerational urban poverty is addressed in our cities. Distressed urban neighborhoods are complex adaptive systems out which emerge the outcomes that we worry about: high crime, under performing schools, health disparities, and low levels of economic mobility. Through an improved understanding how these “neighborhood effects” generate these outcomes, we can perhaps design more effective interventions.
Mr. Edwards is looking to partner with academics, private sector leaders and other community development practitioners interested in applying complexity science to deepen our understanding of the relationship between neighborhood conditions and improved social outcomes.
Kirsten Moy is a Senior Fellow with the Aspen Institute. Her most recent research initiative, conducted for the Federal Reserve Bank of San Francisco as a Visiting Scholar, focuses on the application of complexity science to community development.
Robert M. Cutler is an Energy, Finance, and Geo-economics Strategist with further expertise in Complex-systems Organization and Decision Studies, and Strategic Communications. He has consulted with the private sector, governments, think tanks, international institutions, and NGOs for over 25 years.
Robert holds a Bachelor of Environmental Studies and a Master of Arts in Planning from the University of Waterloo. During his time at Waterloo, he developed the residential valuation sub-model for a regional land-market transportation microsimulation project.
Dr. Naresh Singh is a Professor in the Jindal School for Government and Public Policy and Director of the Centre for Complexity Economics, Applied Spirituality and Public Policy at O.P. Jindal Global University; Special Adviser on Sustainability at the Toronto Centre for Financial Leadership, and Senior VP at Global Development Solutions Canada, a strategic advisory services firm.
Jamie is a leader and award-winning specialist in Biomimicry and Regenerative Design, the first Director of Biomimicry at B+H and first Global Director of Regenerative Design for the SJ Group of Companies. His role represents a pioneering shift in our industry, one that works with nature, rather than against it.
Xiongbing Jin is interested in the complexity arising from the interactions among urban land use, transportation infrastructure and individual choices and preferences. During his postdoc at the School of Planning, Faculty of Environment, University of Waterloo, Jin was the lead developer of the agent-based Waterloo Regional Model (WARM) which aims to simulate the relationships among residential location choices, trip decisions and landscape management, and the influences of urban infrastructure and policies on these decisions. He was also a lead developer of the Digging into Data (DiD) project MIRACLE (Mining the relationships among variables in large datasets from complex systems) which aims to provide a data analysis, visualization and management platform for the big data generated by agent-based models (ABMs). He received his PhD in 2010 from Memorial University of Newfoundland.