# Dominik Janzing

> Ph.D. Eberhard-Karls-Universität Tübingen 1998

**Wikidata**: [Q75457792](https://www.wikidata.org/wiki/Q75457792)  
**Source**: https://4ort.xyz/entity/dominik-janzing

## Summary
Dominik Janzing is a German scientist, physicist, and statistician born in 1966. He is known for his interdisciplinary research across machine learning, causality, quantum information science, and computational complexity theory. He received his Ph.D. from the University of Tübingen in 1998.

## Biography
- **Born**: 1966
- **Education**: Ph.D., University of Tübingen (Eberhard-Karls-Universität Tübingen), 1998
- **Known for**: Research in machine learning, causality, and quantum information science
- **Field(s)**: Machine learning, causality, quantum information science, quantum computing, computational complexity theory, thermodynamics, statistical physics, statistical method

## Contributions
Dominik Janzing's contributions are primarily in theoretical and academic research across a wide range of scientific disciplines. His work connects the principles of computer science, physics, and statistics. He has conducted research in the fields of machine learning, exploring algorithms that allow systems to learn without explicit instructions, and causality, which investigates cause-and-effect relationships.

In the realm of physics, his work extends to quantum information science, the theory behind quantum computing, as well as statistical physics and thermodynamics. His research portfolio also includes computational complexity theory, which classifies computational problems by their inherent difficulty. As an academic, he has also contributed to the education of the next generation of researchers. He served as the doctoral advisor for Jonas Peters, a notable researcher in his own right, while his own Ph.D. was supervised by Manfred Wolff.

## FAQs
### Q: What is Dominik Janzing's main area of research?
A: Dominik Janzing is known for his broad, interdisciplinary research that spans machine learning, causality, quantum information science, computational complexity theory, and statistical physics.

### Q: Where did Dominik Janzing earn his doctorate?
A: He earned his Ph.D. from the Eberhard-Karls-Universität Tübingen (University of Tübingen) in 1998.

### Q: Who was Dominik Janzing's doctoral advisor?
A: His doctoral advisor was Manfred Wolff. He also served as a doctoral advisor himself to researcher Jonas Peters.

## Why They Matter
Dominik Janzing's work is significant for its role in bridging disparate scientific fields. His research creates valuable connections between machine learning, theoretical computer science, and fundamental physics. By applying principles from areas like statistical physics, thermodynamics, and quantum information theory to problems in causality and machine learning, he helps pioneer new approaches to understanding complex systems and data.

This interdisciplinary approach is crucial for advancing artificial intelligence and computational theory. For example, exploring the links between causality and machine learning can lead to more robust and explainable AI models. Similarly, his work in quantum information science contributes to the foundational knowledge required for the future of computing. His influence is evident in his academic lineage, having mentored researchers like Jonas Peters, ensuring that this cross-disciplinary perspective continues to shape future scientific inquiry.

## Notable For
*   **Interdisciplinary Research**: His work connects machine learning, causality, quantum information science, and computational complexity theory.
*   **Academic Lineage**: He was the doctoral advisor to statistician and mathematician Jonas Peters.
*   **Education**: Earned a Ph.D. from the University of Tübingen in 1998 under the supervision of Manfred Wolff.
*   **Broad Expertise**: His fields of work include thermodynamics, statistical physics, and quantum computing in addition to his primary areas.

## Body
### Personal and Professional Details
*   **Given Name**: Dominik
*   **Birth Year**: 1966
*   **Sex/Gender**: Male
*   **Occupations**: Statistician, University Teacher, Scientist, Physicist
*   **Languages**: German, English

### Education and Academia
*   **Doctoral Degree**: Ph.D. from Eberhard-Karls-Universität Tübingen, awarded in 1998.
*   **Doctoral Advisor**: Manfred Wolff
*   **Doctoral Student**: Jonas Peters

### Fields of Research
Dominik Janzing's work encompasses a diverse set of scientific and mathematical fields:
*   Machine learning
*   Causality
*   Quantum information science
*   Quantum computing
*   Computational complexity theory
*   Thermodynamics
*   Statistical physics
*   Statistical method

### Scholarly Identifiers
His work and identity are tracked in numerous academic and library databases:
*   **ISNI**: 0000000382286155
*   **GND ID**: 120458497
*   **VIAF ID**: 265348100
*   **zbMATH Author ID**: janzing.dominik
*   **Mathematics Genealogy Project ID**: 27467

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## References

1. IdRef
2. Mathematics Genealogy Project
3. Czech National Authority Database
4. Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach
5. Virtual International Authority File
6. [Czech National Authority Database](https://aleph.nkp.cz/data/cnb.xml.gz)
7. Personal Authority Wikibase of the Czech Republic
8. National Library of Israel Names and Subjects Authority File