# Charles Tapley Hoyt

> American chemist

**Wikidata**: [Q47475003](https://www.wikidata.org/wiki/Q47475003)  
**Source**: https://4ort.xyz/entity/charles-tapley-hoyt

## Summary
Charles Tapley Hoyt is an American chemist, biologist, and programmer known for his interdisciplinary work in bioinformatics, cheminformatics, and knowledge graphs. He has made significant contributions to open-source tools like `curies` and `Biomappings`, and his research focuses on integrating computational methods with biological data analysis.

## Biography
- **Born**: 1993, New Haven, USA
- **Nationality**: United States
- **Education**:
  - Bachelor of Science in Mathematics and Chemistry, Northeastern University (2011–2015)
  - Master of Science in Bioinformatics, University of Bonn (2015–2017)
  - Doctor of Philosophy in Bioinformatics, University of Bonn (2018–2019)
- **Known for**: Developing open-source tools for biological data integration and knowledge graph applications
- **Employer(s)**:
  - Northeastern University (Teaching Assistant, 2012–2015; Senior Scientist, 2023–2024)
  - Fraunhofer Institute for Algorithms and Scientific Computing (Research Fellow, 2016–2019)
  - Enveda (Computational Biologist, 2020)
  - Harvard Medical School (Research Fellow, 2021–2023)
- **Field(s)**: Bioinformatics, Cheminformatics, Machine Learning, Knowledge Graphs, Natural Language Processing

## Contributions
Charles Tapley Hoyt has developed several open-source tools widely used in bioinformatics and cheminformatics. His notable projects include:
- **`curies`** (Python package for URI/CURIE conversion, widely adopted in semantic web applications).
- **`Biomappings`** (a repository for biological entity mappings, enhancing data interoperability).
- **Semantic Mapping Reasoning and Assembler** (a Python package for knowledge graph integration).
His PhD thesis, *Generation and Applications of Knowledge Graphs in Systems and Networks Biology* (2019), advanced the use of knowledge graphs in biological research. He has also contributed to drug discovery initiatives, including work at Enveda and collaborations with the Laboratory of Systems Pharmacology at Harvard Medical School.

## FAQs
### Q: What is Charles Tapley Hoyt best known for?
A: He is best known for developing open-source tools like `curies` and `Biomappings`, which facilitate biological data integration and knowledge graph applications.

### Q: Where did Charles Tapley Hoyt earn his PhD?
A: He earned his PhD in Bioinformatics from the University of Bonn in 2019, under the supervision of Martin Hofmann-Apitius.

### Q: What awards has Charles Tapley Hoyt received?
A: He received the Bernie Lemire Award (2015) from Northeastern University and the Excellence in Biocuration Early Career Award (2023).

### Q: What programming languages or tools has he created?
A: He has developed Python packages such as `curies` and `Biomappings`, and contributed to semantic web and bioinformatics tools.

## Why They Matter
Hoyt’s work bridges computational science and biology, enabling more efficient data integration and analysis in fields like drug discovery and systems biology. His open-source tools are used by researchers worldwide, improving reproducibility and interoperability in biological data. His contributions to knowledge graphs and cheminformatics have influenced how biological data is structured and queried, making complex datasets more accessible.

## Notable For
- Developing `curies` and `Biomappings`, widely used open-source tools in bioinformatics.
- PhD thesis on knowledge graphs in systems biology (2019).
- Recipient of the Excellence in Biocuration Early Career Award (2023).
- Contributions to drug discovery and proteochemometrics research.
- Active member of the International Society for Biocuration and Biological Expression Language Committee.

## Body
### Early Life and Education
Charles Tapley Hoyt was born in 1993 in New Haven, USA. He earned a Bachelor of Science in Mathematics and Chemistry from Northeastern University (2011–2015), followed by a Master of Science in Bioinformatics from the University of Bonn (2015–2017). His PhD (2018–2019), also from the University of Bonn, focused on knowledge graphs in systems biology.

### Career and Research
Hoyt has held roles at:
- **Fraunhofer Institute for Algorithms and Scientific Computing** (2016–2019) as a research fellow.
- **Enveda** (2020) as a computational biologist.
- **Harvard Medical School** (2021–2023) as a research fellow in the Laboratory of Systems Pharmacology.
- **Northeastern University** (2023–2024) as a senior scientist.

His research spans bioinformatics, cheminformatics, and machine learning, with a focus on knowledge graphs and pathway analysis.

### Open-Source Contributions
- **`curies`**: A Python package for converting between URIs and CURIEs, widely used in semantic web applications.
- **`Biomappings`**: A repository for biological entity mappings, improving data interoperability.
- **Semantic Mapping Reasoning and Assembler**: A Python package for knowledge graph integration.

### Awards and Recognition
- **Bernie Lemire Award** (2015) from Northeastern University.
- **Excellence in Biocuration Early Career Award** (2023) from the International Society for Biocuration.

## Schema Markup
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  "name": "Charles Tapley Hoyt",
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  "birthDate": "1993",
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## References

1. [Source](https://orcid.org/0000-0003-4423-4370)
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4423-4370/employment/8115366)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4423-4370/employment/14207397)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0003-4423-4370/employment/20882360)
5. [Source](https://cos.northeastern.edu/wp-content/uploads/sites/9/2013/07/FINAL_Sept_4th_2015_NU_HuskyChemist_Newsletter_2015_dr6.pdf)
6. [Source](https://www.biocuration.org/announcement-for-2023-winners-of-excellence-in-biocuration-awards/)
7. [Source](https://bonndoc.ulb.uni-bonn.de/xmlui/handle/20.500.11811/8126)
8. [Source](https://www.biocuration.org/excellence-in-biocuration-early-career-award-2023/)
9. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0003-4423-4370/external-identifiers/1493181)