Hi! I am Da Huo, a researcher currently working on greenhouse gas (particularly CO2) emission-related projects. I am a member of the Carbon Monitor team, and the main developer of the Carbon Monitor-Cities dataset (https://cities.carbonmonitor.org/), which is the first near-real-time daily CO2 emission dataset for 1500+ Global Cities. I am also investigating life cycle models to predict national electric and hydrogen fuel cell pathways for light-duty vehicle fleets, to meet climate targets.
My background and research
I received my Ph.D. degree in Geography (GIS and remote sensing) from Texas A&M University in 2020. I received my M.Sc. degree in Geoscience from Rice University and B.Sc. in Geophysics from Tongji University.
I have worked at the Center for Geospatial Sciences, Applications and Technology at Texas A&M University where I developed remote sensing and geospatial applications to support carbon sequestration and bioenergy projects funded by the United States Department of Energy. I am also interested in the application of artificial intelligence in my field and have developed smarter feature detection and fleet dispatching algorithms (for emission reduction) using deep reinforcement learning.
I have strong coding and data processing skills and experience in geographic information systems (GIS), carbon accounting, geophysical modeling, satellite remote sensing, statistics, and machine learning.
For more info
Please check out other pages (publications, talks, teaching, CV) for more information.