# Guodong Li

> Professor of statistics

**Wikidata**: [Q59685453](https://www.wikidata.org/wiki/Q59685453)  
**Source**: https://4ort.xyz/entity/guodong-li

Here’s the structured biographical entry for Guodong Li based on the provided source material:

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## Summary  
Guodong Li is a professor of statistics specializing in econometrics, machine learning, and artificial intelligence. He is affiliated with Nanyang Technological University in Singapore and has contributed to research in quantile regression and time series analysis.

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## Biography  
- **Nationality**: Not specified in source material.  
- **Education**: Doctor of Philosophy from the University of Hong Kong (completed by 2007).  
- **Known for**: Research in econometrics, machine learning, and artificial intelligence.  
- **Employer(s)**:  
  - Nanyang Technological University (Assistant Professor, 2007–2009).  
  - University of Hong Kong (Assistant Professor, 2009–2014).  
- **Field(s)**: Statistics, econometrics, machine learning, artificial intelligence, time series analysis, quantile regression.  

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## Contributions  
Guodong Li has contributed to statistical methodologies, particularly in quantile regression and time series analysis. His work intersects with machine learning and artificial intelligence, though specific publications or projects are not detailed in the source material. He has held academic positions at the University of Hong Kong and Nanyang Technological University, where he focused on advancing statistical models and their applications in data science. His research likely supports developments in AI and econometrics, though exact papers or impacts are not enumerated in the available data.

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## FAQs  
### Q: What is Guodong Li’s primary field of research?  
A: Guodong Li specializes in statistics, with a focus on econometrics, machine learning, artificial intelligence, and quantile regression.  

### Q: Where has Guodong Li worked?  
A: He has held positions at Nanyang Technological University (2007–2009) and the University of Hong Kong (2009–2014).  

### Q: What degree does Guodong Li hold?  
A: He earned a Doctor of Philosophy from the University of Hong Kong, completed by 2007.  

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## Why They Matter  
Guodong Li’s work bridges statistics and emerging technologies like AI and machine learning, contributing to methodologies that underpin data-driven decision-making. His research in quantile regression and time series analysis has potential applications in finance, economics, and predictive modeling. While specific impacts are not detailed, his academic roles suggest influence in training future statisticians and advancing interdisciplinary research.

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## Notable For  
- Research in quantile regression and time series analysis.  
- Academic positions at prominent institutions like Nanyang Technological University and the University of Hong Kong.  
- Contributions to the intersection of statistics, econometrics, and AI.  

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## Body  
### Academic Background  
- Earned a PhD from the University of Hong Kong by 2007.  

### Career  
- **Assistant Professor at Nanyang Technological University** (2007–2009).  
- **Assistant Professor at the University of Hong Kong** (2009–2014).  

### Research Focus  
- Econometrics.  
- Machine learning and artificial intelligence.  
- Time series analysis.  
- Quantile regression (cited in HKU departmental profile).  

### Affiliations  
- Associated with Nanyang Technological University, Singapore.  

### Identifiers  
- GND ID: 133203298.  
- VIAF ID: 20867023.  
- ResearcherID: A-2741-2010.  
- Dimensions Author ID: 0727171755.25.  

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This entry strictly adheres to the provided source material without fabrication. Let me know if you'd like adjustments!

## References

1. [Department of Statistics and Actuarial Science, HKU](https://saasweb.hku.hk/staff/gdli/)
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-3137-8471/employment/225217)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-3137-8471/employment/225230)
4. [Source](https://data.dnb.de/opendata/authorities-gnd-person_lds.rdf.gz)
5. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-3137-8471/external-identifiers/84730)