# Matthew F. Dixon

> Ph.D. Imperial College London 2007

**Wikidata**: [Q103271568](https://www.wikidata.org/wiki/Q103271568)  
**Source**: https://4ort.xyz/entity/matthew-f-dixon

## Summary
Matthew F. Dixon is a university teacher and researcher specializing in applied mathematics, mathematical finance, and machine learning. He holds a Ph.D. from Imperial College London (2007), where he conducted research under the supervision of Darryl D. Holm and Sebastian Reich.

## Biography
- **Education:** Ph.D., Imperial College London (2007)
- **Known for:** Research at the intersection of machine learning, applied mathematics, and mathematical finance
- **Field(s):** Applied mathematics, mathematical finance, machine learning, mathematical modeling
- **Occupation:** University teacher
- **Languages:** English

## Contributions
Matthew F. Dixon has established a professional focus on the synthesis of applied mathematics and computational intelligence. His work operates at the intersection of mathematical finance and machine learning, contributing to the academic and practical understanding of how statistical models and algorithms are applied to financial systems.

His academic contributions are grounded in rigorous mathematical modeling, a discipline he mastered during his doctoral studies at Imperial College London. In 2007, he completed his Ph.D., a process guided by notable academics Darryl D. Holm and Sebastian Reich. This educational foundation laid the groundwork for his subsequent career as a university teacher. By bridging the gap between theoretical mathematics—specifically applied models—and the data-driven capabilities of machine learning, Dixon contributes to the development of algorithms that computer systems utilize to perform tasks without explicit instructions, particularly within the complex domain of financial markets.

## FAQs
### Q: What is Matthew F. Dixon's educational background?
A: Matthew F. Dixon completed his Ph.D. at Imperial College London in 2007. His thesis work was supervised by Darryl D. Holm and Sebastian Reich.

### Q: What are Matthew F. Dixon's primary fields of work?
A: His primary fields of work include applied mathematics, mathematical modeling, mathematical finance, and machine learning.

### Q: What is Matthew F. Dixon's occupation?
A: He is identified as a university teacher and researcher.

## Why They Matter
Matthew F. Dixon matters within the academic and scientific community for his interdisciplinary approach to complex quantitative problems. By integrating the rigorous theoretical frameworks of applied mathematics with the practical, data-driven utilities of machine learning, he contributes to a high-value niche: mathematical finance.

His work addresses the growing need for sophisticated algorithmic approaches in finance, moving beyond traditional modeling to incorporate advanced computational techniques. Furthermore, as a university teacher, he plays a direct role in training the next generation of quantitative analysts and data scientists. His academic lineage, traceable through his advisors at Imperial College London, positions him within a significant network of mathematical scholarship, ensuring the transmission of advanced knowledge in stochastic modeling and algorithmic design.

## Notable For
*   **Doctoral Research:** Earned a Ph.D. from Imperial College London in 2007.
*   **Interdisciplinary Focus:** Integrating machine learning with mathematical finance.
*   **Academic Pedigree:** Doctoral advisor was Darryl D. Holm, a noted mathematician.
*   **Scientific Contribution:** Work involves the study of algorithms and statistical models for computer systems.

## Body

### Academic Credentials
Matthew F. Dixon is a scholar in the field of applied mathematics. He is predominantly defined by his association with Imperial College London, where he completed his Doctor of Philosophy (Ph.D.) in 2007. His doctoral research was a collaborative academic effort supervised by Darryl D. Holm and Sebastian Reich.

### Research and Professional Focus
Dixon’s professional identity is characterized by his role as a university teacher and his deep involvement in several overlapping technical disciplines. His field of work is explicitly categorized into four main areas:
*   **Applied Mathematics:** The broader umbrella of his mathematical inquiries.
*   **Mathematical Model:** The construction and analysis of mathematical frameworks to represent real-world systems.
*   **Mathematical Finance:** The application of these models specifically to financial markets and instruments.
*   **Machine Learning:** The scientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions.

This combination of skills places him at the forefront of computational finance, where traditional mathematical theory meets modern data science.

### Identifiers and Records
Dixon is indexed in several major academic and library databases, confirming his standing in the global research community. These identifiers include:
*   **ISNI:** 0000000426720014
*   **VIAF ID:** 5425164120352010470007
*   **Mathematical Genealogy Project ID:** 254419
*   **MR Author ID:** 746184
*   **NL CR AUT ID:** vse20211133998

## References

1. Czech National Authority Database
2. Mathematics Genealogy Project