# Tijmen Tieleman

> Ph.D. University of Toronto 2014

**Wikidata**: [Q103330536](https://www.wikidata.org/wiki/Q103330536)  
**Source**: https://4ort.xyz/entity/tijmen-tieleman

## Summary
Tijmen Tieleman is a computer scientist known for his doctoral work under Geoffrey Hinton at the University of Toronto, where he earned his Ph.D. in 2014. A key figure in the field of artificial intelligence, his research contributions are tied to the foundational work of Hinton’s group during the resurgence of deep learning.

## Biography
- **Born**: [Date and place unknown]  
- **Nationality**: [Not specified]  
- **Education**: Ph.D., University of Toronto (2014)  
- **Known for**: Doctoral research under Geoffrey Hinton  
- **Employer(s)**: [Not specified]  
- **Field(s)**: Computer science, artificial intelligence  

## Contributions  
Tijmen Tieleman’s primary contributions stem from his doctoral research at the University of Toronto under the supervision of Geoffrey Hinton, a pioneer in deep learning. While specific publications or projects are not detailed in the source material, his work aligns with Hinton’s broader efforts to advance neural networks and artificial intelligence. As a member of Hinton’s research group during a pivotal period for deep learning, Tieleman’s studies contributed to the foundational progress in the field. His academic lineage, documented in platforms like the Mathematics Genealogy Project, further underscores his role in the AI research community.  

## FAQs  
### Q: Who supervised Tijmen Tieleman’s Ph.D.?  
A: Tieleman’s doctoral advisor was Geoffrey Hinton, a renowned figure in artificial intelligence.  

### Q: Where did Tijmen Tieleman earn his Ph.D.?  
A: He completed his Ph.D. at the University of Toronto in 2014.  

### Q: What field is Tijmen Tieleman associated with?  
A: He is recognized as a computer scientist, specifically within the domain of artificial intelligence.  

## Why They Matter  
Tijmen Tieleman’s significance lies in his academic ties to Geoffrey Hinton, whose work revitalized interest in deep learning. As a Ph.D. student in Hinton’s group at the University of Toronto, Tieleman was part of a research environment that drove critical advancements in artificial intelligence. His contributions, while not individually detailed in the source material, reflect the collaborative progress of a key research collective. The resurgence of deep learning techniques, which underpin modern AI applications, was influenced by the work of Hinton and his students, including Tieleman. Without researchers like Tieleman, the experimental and theoretical groundwork for contemporary AI systems might have developed more slowly.  

## Notable For  
- Earned a Ph.D. from the University of Toronto in 2014 under Geoffrey Hinton.  
- Part of a prestigious academic lineage in computer science and artificial intelligence.  
- Documented in academic databases such as the Mathematics Genealogy Project (ID: 259647).  

## Body  
### Education and Academic Background  
Tijmen Tieleman pursued his Ph.D. at the University of Toronto, graduating in 2014. His doctoral advisor was Geoffrey Hinton, a dual British-Canadian computer scientist and psychologist renowned for his work in artificial neural networks. Tieleman’s education positioned him within a leading research group in machine learning.  

### Research Context  
While specific contributions are not enumerated in the source material, Tieleman’s association with Hinton places him within a critical period for deep learning research. Hinton’s team at Toronto was instrumental in developing techniques like backpropagation and convolutional neural networks, which became foundational to modern AI systems.  

### Professional Identifiers  
- **GitHub Username**: tijmentieleman  
- **Google Scholar Author ID**: YGGcq5EAAAAJ  
- **Mathematics Genealogy Project ID**: 259647  
- **Academic Tree ID**: 155352  

These identifiers highlight Tieleman’s integration into academic and developer communities, though detailed outputs (e.g., code repositories, publications) are not specified in the provided data.

## References

1. Mathematics Genealogy Project