Search Results for 'machine learning'

Students

Ian Bolliger

MS, PhD

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 methods to quantify the complex interactions between society and a changing climate. Ian is a Berkeley Graduate […]

Patricia Hidalgo-Gonzalez

MS, PhD

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 engineer from Pontificia Universidad Católica of Chile. She is an NSF GRFP fellow, Siebel Scholar in Energy, Rising Star […]

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 […]

Events

Dan Kammen – Data and Sustainability Science and Practice
passed
September 18, 2018 @ 4:00 pm - 5:00 pm PDT

Topic Links

Ian Bolliger

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 methods to quantify the complex interactions between society and a changing climate. Ian is a Berkeley Graduate […]