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North America's Leading Energy Event
June 7-9, 2022
BMO Centre at Stampede Park - Calgary, Canada


Thomas Fox

Thomas Fox 300x300

Thomas Fox

President & Director of Innovation
Highwood Emissions Management

Thomas completed a Ph.D. at the University of Calgary Centre for Smart Emissions Sensing Technologies, where he held a Vanier scholarship, Canada’s most prestigious graduate award. His doctoral work evaluated methane measurement technologies and methods through simulation and literature review. Thomas holds a M.Sc. from McGill University in satellite remote sensing and agricultural land-use and a B.Sc. in Environmental Science. Between 2016 and 2020 Thomas contributed to the development, deployment, and testing of new drone and vehicle-based leak detection systems at the University of Calgary. From 2017 to 2019, Thomas led the world’s first and most comprehensive review of methane technologies for use in LDAR, analyzing dozens of potential solutions. In 2018, regulators, producers, and innovators wanted to know how to demonstrate and approve new technologies. To answer this question, Thomas co-initiated a set of three workshops in two countries, bringing together over 100 stakeholders from government (EPA, ECCC, AER, CDPHE, CARB, etc.), industry (Shell, Exxon, etc.), nonprofits, technology innovators, solutions providers, consultants, and industry groups. The resulting consensus framework is publicly available. Thomas later worked with Canadian regulators to implement a version of the framework. Since 2016, Thomas has participated in ground-breaking methane field trials for emerging technologies, including the Mobile Monitoring Challenge in California, the Alberta Methane Field Challenge, and the Alternative Fugitive Emissions Management Program Effectiveness. Thomas is safety and OGI-certified and experienced in controlled release testing & technology performance. From 2017-2020, Thomas led invention and development of the Leak Detection and Repair Simulator (LDAR-Sim), an open-source software product designed to evaluate emerging leak detection technologies, methods, programs, and policies. LDAR-Sim is a geospatial modeling framework that can test new technologies and policy proposals over many years and under representative empirical input data for emissions, technology performance, policy requirements, infrastructure, and environment.