Sherrie Wang

  • PhD Student, Stanford University
I’m a PhD student at Stanford studying applied math (ICME), advised by Professor David Lobell at the Center on Food Security and the Environment. My research uses modern data science techniques to understand agricultural management and productivity, especially in developing countries where ground truth labels are scarce. Toward this end, I work with large-scale satellite imagery, develop machine learning methods for low-data regimes, and explore the use of non-traditional data sources for ground truth. For more details, please see my CV.
Prior to my PhD, I studied Biomedical Engineering at Harvard University (2014) and worked in New York City post-graduation. Outside of research, I enjoy hiking, cycling, sketching, and reading books.
Interests. Remote sensing, machine learning, sustainable development

Publications

(* denotes equal contribution)
2020
2019