Responsible AI
Methods to identify and mitigate risks in sustainability-focused generative AI systems. This includes decision-oriented approaches to testing, evaluating, and mitigating risks in enterprise sustainability applications.
Research
Connecting sustainability science with emerging technology.
My work focuses on the decisions that shape the environmental footprint of AI, digital products, and global technology supply chains.
Digital systems
Frameworks for connecting digital behavior with infrastructure, resource use, and climate impacts. Understanding how everyday digital activity relates to production systems and emissions.
Technology value chains
Life cycle assessment for electronics, semiconductors, circularity, and supply-chain decarbonization. User-centered methods for comparing multifunctional technology products.
Selected work
Recent publications
2025
Sustainability-focused generative AI risk mitigation strategies
A decision-oriented approach to testing, evaluating, and mitigating risks in enterprise sustainability applications.
2024
Climate impacts of digital use supply chains
A framework connecting everyday digital activity with production systems, resource use, and emissions.
2022
Functionality-based life cycle assessment of ICT products
A user-centered method for comparing multifunctional technology products based on the services they provide.