Hikari Murayama is a PhD Candidate in the Energy and Resources Group (ERG) at the University of California, Berkeley, where she uses remote sensing and machine learning to study the global carbon budget.
Kelsey is a PhD candidate, focusing on qualitative research spanning the fields of global climate and environmental politics, political ecology, critical development studies, human and Indigenous rights, and environmental conflict.
Dawson is a Master’s student in the Energy and Resources Group at UC Berkeley. His interests lie at the intersection of data science and sustainable development, with a focus on climate adaptation, agriculture, and natural resource economics. He’s currently studying weatherization policies in Europe and the domestic political economy of climate finance in Latin America. Before joining ERG, Dawson worked on natural resources policy in Alaska’s state legislature. He grew up in Fairbanks, Alaska, and holds a BA in Political Science from Stanford University.
Lily is a Master’s student in the Energy and Resources Group. Her research focuses on expanding utility access for medically vulnerable and low-income American communities.
Sean Brown is a first year Master’s student interested in using the framework of complex systems to better understand natural and human subsystems as parts of a larger, integrated system, and to identify interactions and feedbacks between these domains in order to effectively address major environmental issues.
A new study by Energy and Resources Group researchers explores how digital tools, maps, and dashboards could better serve climate-adaption decision makers and planners.
Taryn Fransen is a PhD student with the Energy and Resources Group and a Senior Fellow at the World Resources Institute. Her research interests center on the design and implementation of deep decarbonization strategies.
Adam is a PhD focused on ecosystem modeling and remote sensing. His research aims to improve the representation of ecological processes, particularly forest regeneration, in Earth System Models (ESMs).