Students (2 results)
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Hikari Murayama
PhD
Hikari’s research largely focuses on combining remote sensing and machine learning methods to study human impacts on large spatial scales. She was selected to be a Data Science Fellow at ... Continue Reading »
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Hilary Yu
MS
Mining Data on Reclaimed Coal Mines: a Machine Learning Approach to Assessing Habitat Suitability (MS ’18) Hilary received her B.A. in Government and Biological Sciences, with a concentration in Ecology ... Continue Reading »
- climate
- development
- ecology
- economics
- energy
- environmental justice
- Science and Law
- sustainable development
- water
Alumni (2 results)
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Patricia Hidalgo-Gonzalez
MS, PhD
Learning and Control Systems for the Integration of Renewable Energy into Grids of the Future (PhD ’20) Patricia is a Ph.D. candidate at UC Berkeley co-advised by Daniel Kammen and ... Continue Reading »
- climate change
- EMAC
- energy
- Energy economics
- energy policy
- High integration of renewable energy in the system
- Hybrid Systems Laboratory at EECS
- long-term power systems planning
- RAEL
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Ian Bolliger
MS, PhD
Monitoring and Projecting the Impacts of Climate Change with Emerging Environmental Datasets and Machine Learning (PhD ’20) Ian works to provide decision-makers with quantitative, high-resolution projections of the socioeconomic impacts ... Continue Reading »
- climate
- economics
- energy
- Global Policy Laboratory
- health impacts of climate change
- machine learning
- remote sensing
- spatial statistics
- tropical cyclones
- water
News (1 results)
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Environment and Society New ERG Course: Data
May 2, 2019
Data, Environment and Society (ENERES 131) Professor Duncan Callaway Lecture (#33105) TT 9:30 – 11am Labs (#33106) M 10am – 12pm or (#33276) W 10am – 12pm This course will teach ... Continue Reading »
Topics (2 results)
Top
Hikari Murayama
PhD
Hikari’s research largely focuses on combining remote sensing and machine learning methods to study human impacts on large spatial scales. She was selected to be a Data Science Fellow at ... Continue Reading »

Ian Bolliger
MS, PhD
Monitoring and Projecting the Impacts of Climate Change with Emerging Environmental Datasets and Machine Learning (PhD ’20) Ian works to provide decision-makers with quantitative, high-resolution projections of the socioeconomic impacts ... Continue Reading »
- climate
- economics
- energy
- Global Policy Laboratory
- health impacts of climate change
- machine learning
- remote sensing
- spatial statistics
- tropical cyclones
- water