Lijing is a first year Ph.D. student in Geological Sciences. Her interests include Bayesian Inference, Geometric and Topological Data Analysis, Geostatistics and Deep Neural Networks. Her research goal is to develop statistical methods to quantify uncertainty and make decisions in energy resources and environments. She is currently working on groundwater management and landslides hazards.
Honors & Awards
Second Prize and Best use of Planet Data, Stanford Big Earth Data Hackathon (04/2018)
Education & Certifications
B.S., Peking University, Applied Mathematics (2017)
B.S., Peking University, Space Physics (2017)
Jef Caers, Doctoral (Program)