Hi! I am Da Huo, a researcher working on climate change and greenhouse gas (GHG) emissions. I am the lead developer of the Carbon Monitor Cities dataset (https://cities.carbonmonitor.org/), which is the first near-real-time daily CO2 emission dataset for 1500+ cities. I am also modeling life cycle GHG emissions for vehicle fleets to guide decarbonisation policies, and developed AI-powered tools for low-carbon mining. I am currently working as a Project Lead on GHG emissions and energy systems modelling at the City of Toronto.

My background

I received my Ph.D. from Texas A&M University in 2020. I received my M.Sc. from Rice University and B.Sc. from Tongji University. I am a Rising Stars in Clean Energy post-doctoral fellow at the University of Toronto, and I have worked as a post-doctoral researcher at Queen’s University and Tsinghua University.

Planetary health is the ultimate concern of my research, my recent work provide model, data, AI-powered tools, and quantitative analysis to support climate change science and mitigation strategies.

My research

• Modelling Toronto’s 2040 net-zero GHG emissions pathways to drive policy and test actions for citywide emissions reductions (City of Toronto)
• Modeling and comparing life cycle GHG emissions and decarbonization pathways for light-duty vehicle fleets in US, China and UK (University of Toronto)
• Developing OpenPit-AI: an AI-powered fleet management system for emission reduction in mining operations (Queen’s University)
• Investigating relationship between electrification and low carbon transitions of cities (Queen’s University)
• Leading the development of Carbon Monitor-Cities: the first near-real-time daily CO2 emission dataset for cities worldwide (Tsinghua University)
• Leading a project on city-level carbon neutrality in collaboration with Alibaba Cloud
• Developing a ground penetrating radar data processing software for DOE (Texas A&M University)
• Studying climate-glacier dynamics using numerical simulations (Texas A&M University)
• Studying Earth ambient noise using data collected from ocean-bottom seismometers (Tongji University)

News

• 10/2024: A paper on LCA of vehicle fleet electrification “How do we decarbonize one billion vehicles by 2050? Insights from a comparative life cycle assessment of electrifying light-duty vehicle fleets in the United States, China, and the United Kingdom” is published on Energy Policy
• 09/2024: I am invited to give a talk on “Local Emissions for Net Zero (LENZ) Modelling Suite: Supporting Toronto’s Transition Towards Net-Zero” at Civic Tech in Toronto
• 01/2024: A paper on AI application in low-carbon mining “Smart dispatching for low-carbon mining fleet: A deep reinforcement learning approach” is published on Journal of Cleaner Production
• 11/2023: A paper for our recent study on EV and decarbnization pathway is submitted to Energy Policy “How Do We Decarbonize One Billion Vehicles by 2050? Insights from a Comparative Life Cycle Assessment of Electrifying Light-Duty Vehicle Fleets in the United States, China, and the United Kingdom”
• 04/2023: Abstract “Smart Mining Fleet Dispatching System to Reduce Greenhouse Gas Emissions Using Deep Reinforcement Learning” has been accepted by 11th International Conference on Industrial Ecology (ISIE2023).
• 04/2023: Abstract “Charging toward decarbonized electrification: Revisiting Beijing’s power system” has been accepted by 11th International Conference on Industrial Ecology (ISIE2023).
• 04/2023: Abstract “Carbon Monitor Cities, Near-Real-Time Monitoring of Daily Fossil-Fuel CO2 Emissions from Cities Worldwide” has been accepted by 11th International Conference on Industrial Ecology (ISIE2023).
• 09/2022: I am invited to give a keynote speech on “Near-Real-Time Estimates of Daily Fossil-Fuel CO2 Emissions from Cities Worldwide” at the Metrology for Climate Action Workshop 2022
• 05/2022: I have been selected as a Rising Stars in Clean Energy Postdoctoral Fellow at the University of Toronto (Climate Positive Energy fellowships)

Links and media reports

Carbon Monitor Cities Discover Magazine Planet Earth Energy Central News Tsinghua University News

For more info

Please check out other pages (publications, talks, teaching, CV) for more information.