Search Results for 'machine learning'

Students

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 of climate change, focusing on damaging extreme events like tropical cyclones. His research blends dynamic modeling, large socio-environmental datasets, and emerging econometric and machine learning […]

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 Claire Tomlin. She obtained an M.S. from the Energy and Resources Group, UC Berkeley (2016). She graduated with highest honors as an Industrial and Electrical […]

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 and Evolutionary Biology in the latter, from Cornell University, where she graduated in 2015. At ERG, Hilary is interested in exploring the science-law nexus and […]

News

Environment and Society New ERG Course: Data

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 students to build, estimate and interpret models that describe phenomena in the broad area of energy and environmental decision-making. Students leave the course as both […]

Topic Links

Ian Bolliger

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 of climate change, focusing on damaging extreme events like tropical cyclones. His research blends dynamic modeling, large socio-environmental datasets, and emerging econometric and machine learning […]