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Sherrie Wang
Ciriacy-Wantrup Postdoctoral Scholar, UC Berkeley
sherwang@berkeley.edu

I develop machine learning for Earth observation data. My primary application areas are improving agricultural management and forecasting climate phenomena. Currently, I am a Ciriacy-Wantrup Postdoctoral Fellow at UC Berkeley, hosted by Solomon Hsiang and the Global Policy Lab. In 2021, I obtained my PhD in Computational and Mathematical Engineering from Stanford University, where I was advised by David Lobell and benefited from mentors at the Center on Food Security and the Environment and the Sustainability and AI Lab.

Interests

  • Machine learning
  • Remote sensing
  • Agriculture
  • Climate change adaptation
  • Causal inference

Academia

Stanford University
2015 - 2021
Ph.D., M.S. Computational and Mathematical Engineering
Dissertation: "Machine learning for satellite imagery when labels are scarce"
Harvard University
2010 - 2014
B.A. Biomedical Engineering
Magna cum laude with high honors, Phi Beta Kappa

News

  • I will be giving two presentations at the American Geophysical Union Fall Meeting , Dec 2021
  • Our benchmark for the Sustainable Development Goals will appear in the 2021 NeurIPS Datasets and Benchmarks Track , Oct 2021
  • Our paper using lidar to map tall vs. short crops is now published in Environmental Research Letters , Oct 2021
  • I started a postdoc at UC Berkeley, where I am generously supported by a Ciriacy-Wantrup Fellowship , Jul 2021
  • I’m officially a PhD! You can find my defense on YouTube , Jun 2021

Recent Publications

* denotes equal contribution
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops, 2021, Environmental Research Letters
Stefania Di Tommaso , Sherrie Wang , David Lobell
Mapping crop types in southeast India with smartphone crowdsourcing and deep learning, 2020, Remote Sensing
Sherrie Wang , Stefania Di Tommaso , Joey Faulkner , Thomas Friedel , Alex Kennepohl , Rob Strey , David Lobell
Mapping twenty years of corn and soybean across the US Midwest using the Landsat archive, 2020, Scientific Data
Sherrie Wang , Stefania Di Tommaso , Jill Deines , David Lobell
Meta-learning for few-shot time series classification, 2020, CVPR EarthVision
Marc Russwurm* , Sherrie Wang* , Marco Korner , David Lobell