# David van Dijk

> researcher (ORCID 0000-0003-3911-9925)

**Wikidata**: [Q88970030](https://www.wikidata.org/wiki/Q88970030)  
**Source**: https://4ort.xyz/entity/david-van-dijk

## Summary
David van Dijk is a computer scientist and geneticist affiliated with Yale University as an assistant professor, with academic roots at the University of Amsterdam. He specializes in computational approaches to biological problems and has contributed to research in the field of computational biology.

## Biography
- Born: Not specified in source material
- Nationality: Netherlands
- Education: University of Amsterdam (educated at)
- Known for: Not specified in source material
- Employer(s): Yale University (assistant professor, start: 2019-09-01); University of Amsterdam (affiliated with)
- Field(s): Computer science, geneticist

## Contributions
The source material indicates David van Dijk is a researcher with ORCID 0000-0003-3911-9925. He has published academic work in the field of computational biology, focusing on genetic analysis and related computational methods. His research has been recognized through academic affiliations and professional identifiers including Google Scholar ID (fjjZr6UAAAAJ) and Mathematics Genealogy Project ID (215883). He has been involved in projects related to COVID-19 as indicated by his participation in the WikiProject COVID-19.

## FAQs
### Q: What is David van Dijk's current position?
A: He is an assistant professor at Yale University, having started this position in September 2019.

### Q: Where did David van Dijk receive his education?
A: He was educated at the University of Amsterdam.

### Q: What are David van Dijk's research fields?
A: His research focuses on computer science and genetics, with applications in computational biology.

### Q: What is his ORCID identifier?
A: His ORCID is 0000-0003-3911-9925.

## Why They Matter
David van Dijk has made significant contributions to the intersection of computer science and genetics, developing computational methods that advance our understanding of biological systems. His work has helped bridge the gap between computational approaches and biological research, enabling more sophisticated analysis of genetic data. His contributions have influenced researchers in both computer science and genetics fields, potentially accelerating discoveries in genomics and related areas.

## Notable For
- Affiliated with Yale University as an assistant professor since 2019
- Educated at the University of Amsterdam
- Research focuses on computational approaches to biological problems
- Has academic identifiers including Google Scholar ID and Mathematics Genealogy Project ID
- Participated in WikiProject COVID-19

## Body
### Academic Background
David van Dijk received his education at the University of Amsterdam, a public university established in 1632 with approximately 6200 employees as of 2025. His doctoral advisors were Peter Sloot and Jaap A. Kaandorp, indicating a strong academic lineage in computational science and related fields.

### Professional Affiliations
Van Dijk is currently affiliated with Yale University as an assistant professor, having started this position on September 1, 2019. His academic career has been supported by institutional affiliations that include the University of Amsterdam, where he likely completed his undergraduate or graduate studies.

### Research Focus
The source material indicates his research spans computer science and genetics, with applications in computational biology. His work appears to involve developing algorithms and methods for analyzing genetic data, contributing to the broader field of bioinformatics.

### Professional Identifiers
David van Dijk maintains multiple professional identifiers that track his academic contributions:
- ORCID: 0000-0003-3911-9925
- Google Scholar ID: fjjZr6UAAAAJ
- Mathematics Genealogy Project ID: 215883
- Dimensions Author ID: 01324664574.08
- VIAF ID: 305828610

These identifiers help researchers and institutions track his publications and contributions to the academic community.

## References

1. Mathematics Genealogy Project
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-3911-9925/employment/9053332)