An explorer for atmosphere, land, ocean, climate, and human-activity datasets.

About me · CV · Experience · Publications · Projects

I'm a researcher and data engineer based in Melbourne, Australia, working across environmental data systems and artificial intelligence. I build automated data pipelines, research datasets, and interfaces that make Earth-system data easier to explore.

My work includes carbon emissions and power-sector monitoring, geospatial and time-series modelling, and explainable AI. I previously worked on the Carbon Monitor Project at Tsinghua University and completed a Master of Artificial Intelligence at Monash University.

Tools I work with: Python · SQL · FastAPI · Streamlit · Xarray · NetCDF · Linux

View my latest academic CV (PDF) →

Google Scholar · Email · Melbourne, Australia

Research Assistant · Carbon Monitor Project, Tsinghua University
March 2022 – February 2024

• Developed automated Python pipelines and research data products for near-real-time carbon emissions and power-sector monitoring.
• Contributed to peer-reviewed studies and public databases, including CarbonMonitor-Power as one of three equal contributors.

Senior Billing Specialist · Chang Tsi & Partners
January 2016 – January 2019

• Coordinated international client billing requests and supporting document workflows.
• Improved reporting and verification processes, reducing turnaround from days to hours.

Nine co-authored publications listed in my CV. Full author lists are available in the linked papers.

1. A near-real time daily European Power Consumption and Carbon Intensity Dataset (ECON-PowerCI).
   Scientific Data, 2025.

2. Monthly methane emissions in Chinese mainland provinces from 2013–2022.
   Scientific Data, 2025.

3. Health co-benefits of post-COVID-19 low-carbon recovery in Chinese cities.
   Nature Cities, 2024.

4. Carbon Monitor Power-Simulators (CMP-SIM v1.0) across countries: a data-driven approach to simulate daily power generation.
   Geoscientific Model Development, 2024.

5. CarbonMonitor-Power near-real-time monitoring of global power generation on hourly to daily scales.
   Scientific Data, 2023. Equal contribution.

6. Monitoring and quantifying CO₂ emissions of isolated power plants from space.
   Atmospheric Chemistry and Physics, 2023.

7. Carbon Monitor Europe near-real-time daily CO₂ emissions for 27 EU countries and the United Kingdom.
   Scientific Data, 2023.

8. Near-real-time global gridded daily CO₂ emissions 2021.
   Scientific Data, 2023.

9. Scenarios of demographic distributional aspects of health co-benefits from decarbonising urban transport.
   The Lancet Planetary Health, 2022.

2024–present · Automated environmental data pipelines

I maintain automated data infrastructure for Carbon Monitor, CarbonMonitor-Power, GRACED, Carbon Monitor Cities, and Carbon Monitor China, supporting recurring data updates and publication workflows.

2024–present · Power generation across 69 countries

I co-developed the CarbonMonitor-Power research dataset and independently developed the current website, with automated daily data generation and deployment.

Explore the website → · GitHub repository · Dataset paper

Master's thesis · Monash University

An explainable AI framework for daily national CO₂ emissions forecasting, integrating energy, mobility, calendar, and event drivers. Thesis mark: 90 (High Distinction).

Academic CV · Google Scholar · kowdataanalyze@gmail.com