I investigate how stakeholder’s perceptions, preferences, and behavior, affect the potential to address social and environmental challenges through sustainable business practices, technologies, and innovations. Adopting a systems approach, I draw from the fields of industrial ecology, data science, and behavioral economics, and combine methods including Life Cycle Assessment (LCA), machine learning, and psychological experiments.

My goal is to generate insights informing theory as well as real world decision making on issues such as sustainable food systems, second hand markets, and the circular economy.

My work highlights that intuitions about what is environmental beneficial might be misguided.