AI researcher for geoscience, sustainability, ESG, and human well-being
Visiting Assistant Professor, Kyushu University
Chief Data Scientist & Head of AI Research, aiESG Inc.
27 peer-reviewed papers | 23 first-author JCR Q1 papers | 24 active manuscripts | 3 JPO filings
I build large-scale research data systems and AI models that connect global news, remote sensing, climate projections, ESG text, and well-being microdata.
| Research direction | What I am building |
|---|---|
| Climate and geoscience AI | Scenario-aware temperature prediction, climate impact modeling, gridded environmental datasets |
| Human well-being | Cross-survey harmonization, socio-environmental analysis, global microdata infrastructure |
| ESG and finance | News-driven ESG signals, corporate social-risk scoring, event-level market response modeling |
| Research software | Reproducible tools for spatial statistics, data harmonization, and AI-assisted empirical research |
| Stack | Scale and use |
|---|---|
| Global News Corpus | Approximately 200 million multilingual news articles with automated daily ingestion |
| Well-being Micro-Database | Gallup World Poll, Global Flourishing Study, DHS, and related survey alignment |
| Geospatial Data Stack | MODIS, CMIP6, population, land cover, air pollution, and greenness grids |
| AI Agent Workflows | Literature screening, variable alignment, robustness checking, and research automation |
| Compute | PostgreSQL data server, Google Cloud Platform, and shared GPU resources for large-model experiments |
| Project | Focus | Links |
|---|---|---|
| GWPR.light | The first R package for geographically weighted panel regression, published on CRAN and used across environmental and well-being studies. | CRAN |
| Zhixiang | A JavaScript time-management tool for organizing schedules, tasks, and work plans. | GitHub |
| HappyToGo | A Python template toolkit for generating the necessary documents for manuscript submission workflows. | GitHub |
install.packages("GWPR.light")| Year | Paper | Journal |
|---|---|---|
| 2026 | Beyond the heat: Nonlinear and uneven climate change impacts on mental health | Sustainable Cities and Society |
| 2026 | A Link between ESG Topic Emphases in Security Report and Stock Price | Journal of Cleaner Production |
| 2025 | A spatial machine learning approach to valuing development and greenness in well-being | Sustainable Cities and Society |
| 2024 | ESG Tendencies From News Investigated by AI Trained by Human Intelligence | Business Strategy and the Environment |
| 2022 | Estimating monthly global ground-level NO2 concentrations using geographically weighted panel regression | Remote Sensing of Environment |
More details are available on my personal website and Google Scholar.
| Item | Detail |
|---|---|
| Location | Fukuoka, Japan |
| Pronouns | He / him |
| Academic role | Visiting Assistant Professor, Kyushu University |
| Industry role | Chief Data Scientist & Head of AI Research, aiESG Inc. |
| Collaboration interests | Global CO2 concentration, AI for sustainability, ESG analytics, geospatial modeling |
| Learning | Machine learning, causal inference, sklearn, Keras, PyTorch |
- Personal website: https://michaelchaoli-cpu.github.io/
- Email: chaoli0394@gmail.com
- GitHub: https://github.com/MichaelChaoLi-cpu
- ORCID: https://orcid.org/0000-0002-6854-4456