# Jakub Tomek

> researcher

**Wikidata**: [Q64514549](https://www.wikidata.org/wiki/Q64514549)  
**Source**: https://4ort.xyz/entity/jakub-tomek

## Summary
Jakub Tomek is a researcher with expertise in physiology and informatics, currently affiliated with the University of Oxford. He is known for his work in both fields, combining computational systems with physiological studies.

## Biography
- Born: [date and place not specified]
- Nationality: [not specified]
- Education: [not specified]
- Known for: Bridging physiology and informatics through computational research.
- Employer(s): Department of Physiology, Anatomy, and Genetics, University of Oxford.
- Field(s): Physiology, informatics.

## Contributions
Jakub Tomek has contributed to interdisciplinary research by integrating computational systems with physiological studies. His work leverages informatics for data storage and retrieval in biological contexts. While specific publications or projects are not detailed in the provided material, his role as a researcher suggests a focus on advancing the intersection of computer science and physiology.

## FAQs
### Q: What fields does Jakub Tomek specialize in?
A: Jakub Tomek specializes in physiology and informatics, focusing on computational systems for data storage and retrieval in biological research.

### Q: Where is Jakub Tomek currently employed?
A: He is currently affiliated with the Department of Physiology, Anatomy, and Genetics at the University of Oxford.

### Q: What is Jakub Tomek known for?
A: Jakub Tomek is known for his interdisciplinary research that combines computational approaches with physiological studies.

### Q: Does Jakub Tomek have any notable publications?
A: Specific publications are not listed in the provided material, but his work is likely published in academic journals related to physiology and informatics.

### Q: What languages does Jakub Tomek speak or write in?
A: He is proficient in Czech and English.

## Why They Matter
Jakub Tomek's work bridges the gap between computational science and physiological research, potentially advancing data-driven approaches in biology. His contributions could influence future studies in areas requiring large-scale data analysis and computational modeling of biological systems. By integrating informatics with physiology, he may help standardize methods for data storage and retrieval in biological research, making it more efficient and accessible.

## Notable For
- Affiliated with the University of Oxford, contributing to interdisciplinary research.
- Expertise in both physiology and informatics, combining computational systems with biological studies.
- Proficient in Czech and English, facilitating collaboration across linguistic barriers.

## Body
### Professional Background
Jakub Tomek is a researcher with a background in both physiology and informatics. His work involves applying computational systems to physiological research, particularly in data storage and retrieval. He is associated with the Department of Physiology, Anatomy, and Genetics at the University of Oxford, where he contributes to interdisciplinary studies.

### Research Focus
Tomek's research likely focuses on leveraging informatics to enhance physiological studies. This may include developing computational models for biological data analysis or creating systems for efficient data management in biological research.

### Language Proficiency
He is fluent in Czech and English, which may facilitate his work in international collaborations or publications.

### Academic Contributions
While specific publications are not detailed in the provided material, his role as a researcher suggests contributions to academic literature in physiology and informatics. His work may include studies that integrate computational methods with biological research, potentially advancing the field of bioinformatics.

## References

1. Virtual International Authority File
2. Czech National Authority Database
3. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-0157-4386/researcher-urls/1063517)
4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-0157-4386/external-identifiers/1322810)