# Jakub M Tomczak

> researcher

**Wikidata**: [Q91702073](https://www.wikidata.org/wiki/Q91702073)  
**Source**: https://4ort.xyz/entity/jakub-m-tomczak

## Summary
Jakub M Tomczak is a researcher in artificial intelligence, known for his work in machine learning and neural networks. He has held academic positions at institutions including Vrije Universiteit Amsterdam, Eindhoven University of Technology, and University of Amsterdam, and has also worked at Qualcomm.

## Biography
- Born: Not specified
- Nationality: Not specified
- Education: Wrocław University of Science and Technology, Blekinge Institute of Technology
- Known for: Research in artificial intelligence and machine learning
- Employer(s): Vrije Universiteit Amsterdam (assistant professor, 2019-2023), Eindhoven University of Technology, University of Amsterdam, Qualcomm
- Field(s): Artificial intelligence, machine learning

## Contributions
Jakub M Tomczak has contributed to the field of artificial intelligence through his research in machine learning and neural networks. His work has been affiliated with multiple academic institutions and industry partners, including Qualcomm. While specific publications or projects are not detailed in the source material, his career trajectory shows sustained involvement in AI research across both academic and corporate settings.

## FAQs
### Q: What is Jakub M Tomczak's primary field of work?
A: Jakub M Tomczak works in artificial intelligence, with a focus on machine learning and neural networks.

### Q: Where has Jakub M Tomczak worked?
A: He has worked at Vrije Universiteit Amsterdam, Eindhoven University of Technology, University of Amsterdam, Wrocław University of Science and Technology, and Qualcomm.

### Q: What is Jakub M Tomczak's highest academic position?
A: He served as an assistant professor at Vrije Universiteit Amsterdam from 2019 to 2023.

## Why They Matter
Jakub M Tomczak's contributions to artificial intelligence research, particularly in machine learning, have supported the advancement of intelligent systems and neural network applications. His work across both academic institutions and industry (including Qualcomm) has helped bridge theoretical research with practical implementation, contributing to the broader development of AI technologies.

## Notable For
- Research in machine learning and artificial neural networks
- Academic positions at multiple European universities
- Industry collaboration with Qualcomm
- Publications indexed in Google Scholar and DBLP
- Active presence in the AI research community

## Body
### Academic Career
Jakub M Tomczak has held academic positions at several institutions in Europe. He worked as an assistant professor at Vrije Universiteit Amsterdam from November 2019 to February 2023. Prior to that, he was affiliated with Eindhoven University of Technology and University of Amsterdam. His academic career began at Wrocław University of Science and Technology, where he was employed from October 2012 to October 2016.

### Industry Experience
In addition to his academic work, Tomczak has experience in industry through his affiliation with Qualcomm, a major American semiconductor and telecommunications company. This combination of academic and industry experience positions him at the intersection of theoretical research and practical application in artificial intelligence.

### Research Focus
Tomczak's work centers on artificial intelligence, specifically machine learning and neural networks. These areas involve developing algorithms that enable computers to learn from data and make intelligent decisions without explicit programming.

### Education
He completed his education at Wrocław University of Science and Technology and Blekinge Institute of Technology, though specific degrees are not mentioned in the source material.

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## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-8634-694X/employment/11076607)
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-8634-694X/employment/19520035)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-8634-694X/employment/3547522)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-8634-694X/employment/3547503)