# Klaus Obermayer

> computer scientist

**Wikidata**: [Q89431327](https://www.wikidata.org/wiki/Q89431327)  
**Source**: https://4ort.xyz/entity/klaus-obermayer

## Summary
Klaus Obermayer is a German computer scientist and artificial intelligence researcher known for his work in computational neuroscience, machine learning, and artificial neural networks. He serves as head of a research group at Technische Universität Berlin and has supervised numerous doctoral students in these fields.

## Biography
- Born: 1961 in Ludwigsburg, Germany
- Nationality: German
- Education: Technical University of Munich
- Known for: Research in computational neuroscience, machine learning, and artificial neural networks
- Employer(s): Technische Universität Berlin
- Field(s): Computational neuroscience, machine learning, artificial neural networks

## Contributions
Klaus Obermayer has made significant contributions to computational neuroscience and machine learning through his academic research and mentorship. As head of a research group at Technische Universität Berlin, he has supervised doctoral students including Ralf Herbrich, Hendri Murfi, Thore Graepel, and Fatma Deniz. His work focuses on developing computational models of brain function and advancing machine learning algorithms. Obermayer's research has been published extensively and he maintains an active presence in the academic community through his Google Scholar profile and other scholarly platforms. His contributions have helped advance understanding of how neural networks can be applied to complex computational problems.

## FAQs
### Q: What is Klaus Obermayer's primary field of research?
A: Klaus Obermayer specializes in computational neuroscience, machine learning, and artificial neural networks, focusing on how computational models can explain brain function and improve machine learning algorithms.

### Q: Where does Klaus Obermayer work?
A: Klaus Obermayer works at Technische Universität Berlin, where he heads a research group in his field of expertise.

### Q: Who are some of Klaus Obermayer's notable doctoral students?
A: Klaus Obermayer has supervised doctoral students including Ralf Herbrich, Hendri Murfi, Thore Graepel, and Fatma Deniz, all of whom have gone on to successful careers in computer science and artificial intelligence.

## Why They Matter
Klaus Obermayer matters because his research bridges the gap between neuroscience and computer science, helping to advance both fields simultaneously. His work on computational models of neural systems has provided insights into how the brain processes information, while also inspiring more effective machine learning algorithms. Through his mentorship of doctoral students who have become influential researchers themselves, Obermayer has helped shape the next generation of computer scientists working in artificial intelligence. His contributions to understanding neural networks and their applications continue to influence both theoretical research and practical implementations in machine learning systems.

## Notable For
- Head of research group at Technische Universität Berlin
- Supervised prominent doctoral students including Ralf Herbrich and Thore Graepel
- Published extensively in computational neuroscience and machine learning
- Maintains active research presence with high citation counts on Google Scholar
- Bridges neuroscience and computer science through computational modeling

## Body
### Academic Background
Klaus Obermayer completed his education at the Technical University of Munich before establishing his academic career. His doctoral advisor was Klaus Schulten, indicating his early connection to computational approaches in biological systems.

### Research Focus
Obermayer's research centers on computational neuroscience, machine learning, and artificial neural networks. His work explores how computational models can explain brain function and how these insights can be applied to develop more sophisticated machine learning algorithms.

### Academic Leadership
As head of a research group at Technische Universität Berlin, Obermayer has built a reputation for mentoring successful doctoral students. His supervision has produced researchers who have gone on to influential positions in academia and industry, including Ralf Herbrich at Amazon and Thore Graepel in artificial intelligence research.

### Scholarly Impact
With multiple author identifiers across academic databases (Scopus, DBLP, Semantic Scholar, etc.), Obermayer maintains a significant scholarly presence. His research has been cited extensively, demonstrating the impact and relevance of his work in computational neuroscience and machine learning communities.

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## References

1. Mathematics Genealogy Project
2. [Source](http://dx.doi.org/10.14279/depositonce-3904)
3. CONOR.SI