Deep decarbonization and sustainability transitions

Christian Euler

Assistant Professor, Chemical Engineering

Christian's research focuses on metabolic engineering, systems biology, industrial bioengineering, and the circular economy. He joined the University of Waterloo from the start-up world, where he developed novel microbial pathways to vaporize waste products such as CO2, its reduced derivatives, and plastics, including the world's first bio-based glycolic acid produced from a waste stream.

Amr ElAlfy

Assistant Professor, School of Environment, Enterprise, and Development

Amr ElAlfy studies deep decarbonization strategies and sustainability transitions for corporations and municipalities. He also works on Measurement, Reporting, and Verification (MRV) frameworks by utilizing various modelling and observation techniques to better understand climate patterns and their impacts on the environment and society.

Tony Wirjanto

Professor, Statistics and Actuarial Science and School of Accounting and Finance.

Tony Wirjanto's research focuses on the intersection between statistics and econometrics. This includes financial time series with a focus on volatility modeling/forecasting and financial risk management and financial mathematics with a focus on portfolio optimization in a high-dimensional setting and on global climate change risks.

Tonya DelSontro

Assistant Professor, Earth and Environmental Sciences

Tonya DelSontro’s research focus is to advance our understanding of how human activities and climate change alter aquatic carbon cycles and greenhouse gas budgets. She integrates field-based system analyses and experimental laboratory work to define and predict anthropogenic impacts on freshwater systems’ greenhouse dynamics from local and regional to global scales.

Joyce Kim

Assistant Professor, Civil and Environmental Engineering

Joyce Kim is primarily interested in studying human-building interactions and the role of technologies to augment occupant performance and building energy efficiency. Her research leverages IoT and data-driven analytics to predict human comfort and behaviour, personalize occupant experience in the built environment and enable intelligent building design and operation. Her research interests also include smart grid technologies and utility cost optimizations.

Roberto Guglielmi

Assistant Professor, Applied Mathematics

Roberto Guglielmi's research addresses problems in control and optimization of large-scale dynamics, described by ordinary or partial differential systems of evolution, with applications to the optimization of utility distribution over networks, heat transfer phenomena in the presence of crack and fractures, control of epidemics, reinforcement learning methods.