# Marcin Pilipczuk

> Polish computer scientist

**Wikidata**: [Q26694022](https://www.wikidata.org/wiki/Q26694022)  
**Source**: https://4ort.xyz/entity/marcin-pilipczuk

## Summary
Marcin Pilipczuk is a Polish computer scientist and researcher affiliated with the University of Warsaw. He is known for his contributions to theoretical computer science, particularly in algorithmic graph theory and parameterized complexity.

## Biography
- **Born**: 2000 (exact place not specified)
- **Nationality**: Poland
- **Education**:
  - Ph.D. in Computer Science, University of Warsaw (2012)
  - Habilitation, University of Warsaw (2017)
- **Known for**: Research in parameterized algorithms and graph theory
- **Employer(s)**: University of Warsaw (since 2012)
- **Field(s)**: Computer science, theoretical algorithms

## Contributions
Marcin Pilipczuk has made significant contributions to the field of parameterized complexity and graph algorithms. His work includes developing efficient algorithms for solving computationally hard problems by exploiting structural properties of graphs. Notable publications include research on fixed-parameter tractability and kernelization techniques, which have advanced the understanding of algorithmic efficiency in complex computational problems. His collaborations and research have been influential in both academic and practical applications of algorithm design.

## FAQs
### Q: What is Marcin Pilipczuk's primary area of research?
A: Marcin Pilipczuk specializes in theoretical computer science, focusing on parameterized algorithms and graph theory.

### Q: Where does Marcin Pilipczuk work?
A: He is employed at the University of Warsaw, where he has been affiliated since 2012.

### Q: What degrees does Marcin Pilipczuk hold?
A: He holds a Ph.D. (2012) and a habilitation (2017) in computer science from the University of Warsaw.

### Q: Who was Marcin Pilipczuk's doctoral advisor?
A: His doctoral advisor was Łukasz Kowalik, a fellow Polish computer scientist.

### Q: What is Marcin Pilipczuk's notable achievement?
A: He is recognized for his research in parameterized complexity, contributing to the development of efficient algorithms for hard computational problems.

## Why They Matter
Marcin Pilipczuk's work in parameterized complexity has advanced the field of algorithmic graph theory, providing new tools and techniques for solving problems that were previously considered intractable. His research has influenced both theoretical and applied computer science, offering insights that improve the efficiency of algorithms in real-world applications. By focusing on structural properties of graphs, his contributions have helped bridge the gap between theoretical research and practical computational solutions.

## Notable For
- Research in parameterized algorithms and graph theory
- Ph.D. and habilitation from the University of Warsaw
- Affiliation with the University of Warsaw since 2012
- Collaborations with notable computer scientists like Łukasz Kowalik
- Contributions to the understanding of fixed-parameter tractability

## Body
### Early Life and Education
Marcin Pilipczuk was born in 2000. He pursued his higher education at the University of Warsaw, where he earned his Ph.D. in computer science in 2012. His doctoral research focused on parameterized complexity, under the supervision of Łukasz Kowalik. He later achieved his habilitation in 2017, further establishing his expertise in the field.

### Career and Research
Pilipczuk has been affiliated with the University of Warsaw since 2012, where he continues to conduct research in theoretical computer science. His work primarily revolves around developing efficient algorithms for solving complex problems, particularly in the domain of graph theory. His research has been published in various academic journals and has contributed to the broader understanding of algorithmic efficiency.

### Collaborations and Influence
Pilipczuk has collaborated with other notable computer scientists, including his doctoral advisor, Łukasz Kowalik. His research has influenced both academic and practical applications of algorithm design, making significant strides in the field of parameterized complexity.

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## References

1. [Source](http://orcid.org/0000-0001-5680-7397)
2. [Source](https://nauka-polska.pl/#/profile/research?id=262467)
3. [Source](https://data.dnb.de/opendata/authorities-gnd-person_lds.rdf.gz)
4. Polish Science
5. [Source](https://nauka-polska.pl/#/profile/scientist?id=242157)
6. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-5680-7397/researcher-urls/1564907)
7. [Source](https://www.mimuw.edu.pl/~mp248287/links.html)