# Thomas Möllenhoff

> computer scientist

**Wikidata**: [Q127415002](https://www.wikidata.org/wiki/Q127415002)  
**Source**: https://4ort.xyz/entity/thomas-mollenhoff

## Summary
Thomas Möllenhoff is a computer scientist and researcher who completed a Doctor of Natural Sciences at the Technical University of Munich in 2020. He is employed at the RIKEN Center for Computational Science and maintains academic and software presence through identifiers such as DBLP, MathSciNet, Google Scholar, and GitHub.

## Biography
- Education: Doctor of Natural Sciences, Technical University of Munich (degree completed 2020)
- Known for: Academic research in computer science documented by a doctoral dissertation and indexed publications
- Employer(s): RIKEN Center for Computational Science (listed employer as of 2024-07-12)
- Field(s): Computer science

## Contributions
Thomas Möllenhoff completed a doctoral degree at the Technical University of Munich in 2020, with a dissertation archived under urn:nbn:de:bvb:91-diss-20200811-1545786-1-9. His doctoral research was supervised by Daniel Cremers. Möllenhoff has an academic publication record indexed in major databases: DBLP (author id 133/2613), MathSciNet (MR author id 1104703), and Google Scholar (author id KAqmeqAAAAAJ), which documents his peer-reviewed outputs. He also maintains software and project repositories under the GitHub username "moellenh", providing code and artifacts related to his research. His public professional footprint includes a personal/project site (https://moellenh.github.io/) and a Twitter account (@tmoellenhoff) active since November 2019. As of the mid-2024 record, he is affiliated with the RIKEN Center for Computational Science, positioning him within computational science research environments. Together, these outputs — a formally archived doctoral thesis, indexed publications, and publicly available code — comprise the concrete, verifiable contributions recorded in the provided sources.

## FAQs
### Q: Who is Thomas Möllenhoff?
A: Thomas Möllenhoff is a computer scientist who earned a Doctor of Natural Sciences from the Technical University of Munich in 2020 and is employed at the RIKEN Center for Computational Science.

### Q: Who supervised his doctoral research?
A: His doctoral advisor was Daniel Cremers, as recorded in the Technical University of Munich dissertation reference.

### Q: Where can I find his publications and code?
A: Publications are indexed under DBLP (author id 133/2613), MathSciNet (MR author id 1104703), and Google Scholar (author id KAqmeqAAAAAJ). Code and project material are available on GitHub under the username "moellenh" and via his personal site (https://moellenh.github.io/).

## Why They Matter
Thomas Möllenhoff’s recorded contributions matter because they form a traceable research and software portfolio in computer science. His doctoral dissertation (Technical University of Munich, 2020) represents a significant individual research milestone and is formally archived for reuse and citation. The presence of author identifiers across DBLP, MathSciNet, and Google Scholar indicates peer-reviewed publications that contribute to the scholarly record. His GitHub account and personal site make research artifacts and implementation code publicly accessible, supporting reproducibility and adoption by other researchers and engineers. Employment at the RIKEN Center for Computational Science places him in a major computational research institution, enabling continued work in high-performance and computational science contexts. Absent these outputs — dissertation, indexed publications, and public code — the specific contributions and their discoverability would be reduced, limiting scholarly citation, reuse of software artifacts, and integration into computational research infrastructures.

## Notable For
- Earning a Doctor of Natural Sciences from the Technical University of Munich (completed 2020).
- Doctoral supervision by Daniel Cremers (recorded advisor for his PhD).
- Employment at the RIKEN Center for Computational Science (listed as employer as of 2024-07-12).
- Public software repositories under GitHub username "moellenh" and a personal project site (https://moellenh.github.io/).
- Indexed scholarly presence: DBLP author id 133/2613, MathSciNet MR author id 1104703, Google Scholar author id KAqmeqAAAAAJ.

## Body
### Education
- Completed a Doctor of Natural Sciences at the Technical University of Munich.
- Degree completion year recorded as 2020.
- Dissertation archived with URN: urn:nbn:de:bvb:91-diss-20200811-1545786-1-9.
- Doctoral advisor: Daniel Cremers.

### Academic record and identifiers
- DBLP author identifier: 133/2613.
- MathSciNet (MR) author identifier: 1104703.
- Google Scholar author identifier: KAqmeqAAAAAJ.
- These identifiers indicate a portfolio of indexed publications associated with his name.

### Employment and affiliation
- Employer listed as RIKEN Center for Computational Science (reference dated 2024-07-12).
- Personal/project web presence referenced at https://moellenh.github.io/.

### Software and public resources
- GitHub username: moellenh — hosts code repositories related to his work.
- Twitter account: @tmoellenhoff, active since November 2019 (qualifier start_time 2019-11-00).
- These resources provide access points for code, project notes, and professional updates.

### Professional profile
- Occupation recorded as computer scientist.
- Given name: Thomas; alias: Thomas Moellenhoff.
- Sex/gender recorded as male.
- Instance: human.

(End of entry.)

## References

1. [Source](https://moellenh.github.io/)