# Thomas Viehmann

> Ph.D. Rheinische Friedrich-Wilhelms-Universität Bonn 2009

**Wikidata**: [Q102413075](https://www.wikidata.org/wiki/Q102413075)  
**Source**: https://4ort.xyz/entity/thomas-viehmann

## Summary
Thomas Viehmann is a German mathematician, entrepreneur, and lecturer specializing in machine learning and actuarial mathematics. He obtained his Doctor of Natural Sciences (Ph.D.) from the University of Bonn in 2009 under the supervision of Felix Otto. Viehmann is recognized for bridging the gap between theoretical mathematics and practical applications in risk management and artificial intelligence.

## Biography
- **Born:** 1975 (Listed as Leiden and Bonn in source records)
- **Education:** Doctor of Natural Sciences (Ph.D.), Rheinische Friedrich-Wilhelms-Universität Bonn (2009)
- **Known for:** Applying mathematical modeling to machine learning and risk management
- **Occupation:** Mathematician, Entrepreneur, Lecturer, Adviser
- **Field(s):** Mathematics, Machine Learning, Actuarial Mathematics, Risk Management, Mathematical Modelling
- **Languages:** German, English

## Contributions
Thomas Viehmann has contributed significantly to the intersection of academic research and industrial application, particularly within the domain of mathematical modeling. His primary academic contribution is his doctoral work in natural sciences completed in 2009 at the University of Bonn, where he was advised by the noted mathematician Felix Otto. This foundation facilitated his transition into complex applied fields.

In his professional capacity, Viehmann operates as an entrepreneur and adviser, leveraging his expertise in actuarial mathematics and risk management. He is involved in the scientific study of algorithms and statistical models used in computer systems—specifically machine learning—to solve problems requiring risk assessment and mathematical precision. He maintains a presence in the open-source community under the username `t-vi`, where he engages with technical audiences. His work often involves the development of computational tasks that perform without explicit instructions, a hallmark of modern machine learning techniques.

## FAQs

### Q: What is Thomas Viehmann's educational background?
A: Thomas Viehmann holds a Doctor of Natural Sciences (Ph.D.) from the Rheinische Friedrich-Wilhelms-Universität Bonn, which he completed in 2009.

### Q: Who was Thomas Viehmann's doctoral advisor?
A: His doctoral advisor was Felix Otto, a prominent figure in the field of mathematics.

### Q: What are Thomas Viehmann's primary areas of expertise?
A: His primary areas of expertise include machine learning, actuarial mathematics, risk management, and mathematical modelling.

## Why They Matter
Thomas Viehmann represents a critical link between rigorous theoretical mathematics and the rapidly evolving field of machine learning. While many practitioners focus solely on application, Viehmann’s background in "Doctor of Natural Sciences" and his work with mathematical modeling provide a structured, statistically sound approach to algorithmic development. His dual role as an entrepreneur and lecturer allows him to influence both the commercial application of AI and the education of future experts. By specializing in actuarial mathematics and risk management, he addresses the high-stakes requirements of financial and safety-critical systems where the reliability of machine learning models is paramount. His work ensures that computational advances are grounded in proven mathematical principles.

## Notable For
- **Academic Foundation:** Earning a Ph.D. in Natural Sciences from the University of Bonn in 2009.
- **Doctoral Guidance:** Being advised by Felix Otto, a distinguished mathematician.
- **Multi-Disciplinary Expertise:** Combining actuarial mathematics with modern machine learning techniques.
- **Professional Versatility:** Holding roles as a lecturer, entrepreneur, and adviser simultaneously.
- **Open Source Identity:** Maintaining a recognized presence on GitHub as `t-vi`.

## Body

### Academic Credentials
Thomas Viehmann completed his higher education at the Rheinische Friedrich-Wilhelms-Universität Bonn. He was awarded a Doctor of Natural Sciences (Ph.D.) in 2009. His dissertation research was conducted under the mentorship of Felix Otto. His academic lineage is tracked in the Mathematics Genealogy Project under ID 177517.

### Professional Roles and Fields
Viehmann is identified professionally as a mathematician, entrepreneur, lecturer, and adviser. His work spans several distinct but related fields:
*   **Machine Learning:** Focusing on algorithms that allow computers to learn from data.
*   **Actuarial Mathematics:** Applying mathematical methods to assess risk in insurance and finance.
*   **Risk Management:** Identifying and mitigating potential losses in business contexts.
*   **Mathematical Modelling:** Creating abstract models to simulate real-world systems.

### Personal Data and Identifiers
*   **Birth Details:** Born in 1975. Historical records list his birthplace variably as Leiden and Bonn.
*   **Identifiers:**
    *   **ISNI:** 0000000028364034
    *   **GND ID:** 134176413
    *   **VIAF ID:** 52161451344864100341
    *   **GitHub:** t-vi
    *   **Twitter:** @ThomasViehmann (Active since November 2018)
*   **Languages:** He speaks and writes in both German and English.

## References

1. Integrated Authority File
2. Czech National Authority Database
3. Mathematics Genealogy Project