Data Science for the Geosciences
3 authors - Hardback
£99.99
Lijing Wang is a Ph.D. in Earth and Planetary Sciences in the Stanford Doerr School of Sustainability. She is a Stanford Data Science Scholar and has been a teaching assistant for the Data Science for Geosciences course at Stanford for over three years. Her research focuses on data-model integration for sustainable water management, and she has received the Harriet Benson Fellowship from Stanford for her exceptional research accomplishments. Dr. Zhen Yin is a Research Scientist at Stanford Center for Earth Resources Forecasting. His research developments in data science have been implemented in various subjects, including Antarctica topographic modeling, critical mineral explorations in Asia/North America/Africa, and North Sea projects. He was previously a Research Associate at the Edinburgh Time-Lapse Project in Scotland, leading a research collaboration with Equinor from 2016 to 2018, and a Postdoctoral Fellow at the Stanford Chevron Center of Research Excellence from 2018 to 2021. Dr. Jef Caers is Professor of Earth and Planetary Sciences in the Stanford Doerr School of Sustainability. He is the author of a wide range of journal papers across mathematics, statistics, geological sciences, geophysics, engineering and computer science, and four other books. He has received several best paper awards, as well as the 2001 Vistelius Award from the International Association for Mathematical Geosciences (IAMG) and the 2014 Krumbein Medal from the IAMG for his career achievement.