Kaihui Song, Ph.D.

Postdoc Data Scientist

RAEL, Energy and Resource Group

University of California, Berkeley

Download my CV

Google Scholar page

Email: kaihuis@berkeley.edu

I am a Postdoc Data Scientist in the Energy and Resources Group at UC Berkeley working with Prof. Daniel Kammen, with an affiliation at the CoolClimate Network

My research develops models and datasets for subnational climate actions, including emission inventories at the city and community level and emissions embedded in international and domestic supply chains.  My work analyzes carbon inequality, local climate impacts, urban sustainability, and explores opportunities for renewable energy in just low-carbon transition to support effective and equitable climate policies.

I am also a co-chair of the Environmentally-Extended Input-Output (EEIO) section in the International Society of Industrial Ecology (ISIE). I serve on Editorial Board for journals of STOTEN and Carbon Footprints

Prior to joining UC Berkeley, I worked at Data-Driven EnviroLab and interned at AGCI and WWF. I obtained my Ph.D. in Geographical Sciences at the University of Maryland, College Park (2022), M.S. in Natural Resources and Environment at the University of Michigan (2018), and B.S. in Environmental Sciences at the Qingdao University of Science & Technology (2016).

Research Interests