Sherrie Wang

Assistant Professor, Mechanical Engineering and IDSS, MIT


I am hiring PhD students and postdocs to start in summer or fall 2023! If you’re interested, please email me at sherwang [at] mit [dot] edu with your CV.

My research uses novel data and computational algorithms to monitor our planet and enable sustainable development. My focus is on improving agricultural management and mitigating climate change, especially in low- or middle-income regions of the world. To this end, I frequently use satellite imagery, crowdsourced data, LiDAR, and other spatial data. Due to the scarcity of ground truth data in these regions and the noisiness of real-world data in general, my methodological work is geared toward developing machine learning methods that work well with these constraints.

Prior to MIT, I was 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.


Jan 11, 2023 I’m excited to collaborate with AgStack and the Linux Foundation to build the world’s first global dataset of agricultural field boundaries! See our recent paper for more details.
Dec 19, 2022 A preprint of our paper using GEDI to map tall and short crops on a global scale over 2019-2021 is now on arXiv.
Dec 12, 2022 I’m at AGU! I gave a talk on our work using lidar to map crop types, and my co-author Hikari Murayama presented a poster on monitoring power plant GHG emissions from space.

selected publications

  1. Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision
    Sherrie Wang, Francois Waldner, and David B. Lobell
    Remote Sensing, 2022
  2. SustainBench: Benchmarks for monitoring the Sustainable Development Goals with machine learning
    Christopher Yeh*, Chenlin Meng*, Sherrie Wang*, and 7 more authors
    NeurIPS Datasets and Benchmarks Track, 2021
  3. Mapping crop types in southeast India with smartphone crowdsourcing and deep learning
    Sherrie Wang, Stefania Di Tommaso, Joey Faulkner, and 4 more authors
    Remote Sensing, 2020
  4. Meta-learning for few-shot land cover classification
    Marc Rußwurm*, Sherrie Wang*, Marco Körner, and 1 more author
    2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020