# Max Welling

> researcher

**Wikidata**: [Q30278133](https://www.wikidata.org/wiki/Q30278133)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Max_Welling)  
**Source**: https://4ort.xyz/entity/max-welling

## Summary
Max Welling is a computer scientist affiliated with the University of Amsterdam and University of California, Irvine, known for research in machine learning, artificial intelligence, and statistics.

## Biography
- Born: 1968-11-01  
- Education: Ph.D. from Utrecht University  
- Known for: Contributions to machine learning and artificial intelligence, including work on variational auto-encoders and graph convolutional networks  
- Employer(s): University of Amsterdam, Microsoft Research  
- Field(s): Machine learning, artificial intelligence, statistics  

## Contributions
Max Welling is a researcher in machine learning and artificial intelligence, affiliated with the University of Amsterdam and University of California, Irvine. He has supervised multiple doctoral students, including Thomas N. Kipf, Chen Yutian, Ian Porteous, Sungjin Ahn, Levi Boyles, and Diederik P. Kingma. His work relates to deep learning models such as variational auto-encoders and graph convolutional networks, which are key tools in modern AI research.

## FAQs
### Q: What is Max Welling's primary field of work?
A: He works in machine learning, artificial intelligence, and statistics.
### Q: Where is Max Welling affiliated?
A: He is affiliated with the University of Amsterdam and the University of California, Irvine.
### Q: Who are some of Max Welling's doctoral students?
A: His doctoral students include Thomas N. Kipf, Chen Yutian, Ian Porteous, Sungjin Ahn, Levi Boyles, and Diederik P. Kingma.

## Why They Matter
Max Welling's research in machine learning and artificial intelligence has contributed to the development of foundational deep learning models, including variational auto-encoders and graph convolutional networks. His work at top research institutions and mentorship of influential students have shaped the field, influencing subsequent generations of AI researchers. Without his contributions, the advancement of these models and their applications in fields like data representation and graph-based AI would have been slower.

## Notable For
- Pioneering work in variational auto-encoders and graph convolutional networks.  
- Affiliation with the University of Amsterdam and University of California, Irvine.  
- Supervising multiple prominent doctoral students in machine learning.  
- Membership in the European Laboratory for Learning and Intelligent Systems.  

## Body
### Early Life and Education
Max Welling was born on November 1, 1968. He earned his Ph.D. from Utrecht University under the supervision of Gerard 't Hooft.

### Career and Affiliations
Welling is affiliated with the University of Amsterdam and the University of California, Irvine. He has also been employed at Microsoft Research. He is a member of the European Laboratory for Learning and Intelligent Systems.

### Research Focus
His research focuses on machine learning, artificial intelligence, and statistics. He is related to key deep learning concepts such as variational auto-encoders (a generative model for data representation) and graph convolutional networks (a neural network for handling graph structures).

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## References

1. Mathematics Genealogy Project
2. [Source](https://ellis.eu/members)
3. Dutch National Thesaurus for Author Names
4. National Library of Israel Names and Subjects Authority File