
Xueting Wang
Life Cycle Analyst, PhD
Xueting Wang is a life cycle analyst at CarbonCloud. She accomplished her Ph.D. degree in material science on sustainable chemical production in 2018. Her research and passion are rooted in sustainable development of our society since then. At CarbonCloud, Xueting engages both in life cycle analysis and product development. With the knowledge from a substantial amount of analysis done, she applies her experience in providing a data-driven solution to assessing the climate performance of the food industry at scale.

Fredrik Hedenus
Co-founder, Science Advisor, PhD, Professor, Advisory Board
Fredrik Hedenus is an associate professor at Physical Resource Theory with a focus on food, energy, and climate change mitigation at Chalmers University of Technology and co-founder of CarbonCloud. He has conducted research about the future energy system for 15 years and is co-author of the book Sustainable Development: nuances and perspectives. Fredrik is a thought leader on food and climate change in Sweden with a track record of TV productions and a large number of radio and newspaper appearances.
Google Scholar
Emma Jonson
Scientist, PhD
Emma Jonson has a Ph.D. in Energy and Environment and has been working for almost 4 years at CarbonCloud. During her doctoral studies, she deepened her knowledge of climate change physics, energy systems, and the climate impact on agriculture. Her skills include locating, structuring, and analyzing information from these fields, e.g. with the help of mathematical models. At CarbonCloud she uses her scientific knowledge and skills to assess, in a consistent and efficient way, the climate impact from the different life cycle stages of food products.
Google Scholar
Erik Edlund
VP of Science, PhD
Erik Edlund is VP of Science at CarbonCloud, leading the Science team in creating, curating, and delivering the scientific knowledge the food industry needs to tackle climate change. Erik is a former MIT Postdoc Fellow with a Ph.D. in Complex Systems from Chalmers. His Ph.D. thesis, Exactly Solvable Models for Self-Assembly, used methods from Statistical Mechanics to design self-assembling soft matter systems. At CarbonCloud his research has included estimating climate impacts of agricultural products and method development for ensuring correctness and efficiency in the design and implementation of scientific models.
Google Scholar