# Martin Huber

> economist

**Wikidata**: [Q103836646](https://www.wikidata.org/wiki/Q103836646)  
**Source**: https://4ort.xyz/entity/martin-huber-q103836646

## Summary
Martin Huber is an economist specializing in the application of machine learning to economic and financial problems. As a university teacher and scientist at the University of Fribourg, he bridges traditional econometrics with modern data science techniques in his research.

## Biography
- Born: May 6, 1980, in Innsbruck
- Nationality: Not specified in available information
- Education: Doctorate from the University of St. Gallen (2010), with Michael Lechner as doctoral advisor
- Known for: Research at the intersection of economics and machine learning
- Employer(s): University of Fribourg (current)
- Field(s): Economics, finance, econometrics, statistics, data processing, data analysis, forecasting, machine learning

## Contributions
Martin Huber has advanced the field of computational economics by developing methods that apply machine learning techniques to traditional economic problems. His research focuses on improving forecasting models and statistical analysis in financial contexts, helping economists leverage modern data science approaches. While specific publications are not detailed in the available information, his work contributes to the growing body of research that bridges econometrics with machine learning, potentially influencing how economic models are developed and validated in data-rich environments.

## FAQs
### Q: Where did Martin Huber receive his academic training?
A: Martin Huber received his doctorate from the University of St. Gallen in 2010, with Michael Lechner serving as his doctoral advisor.

### Q: What distinguishes Martin Huber's research approach?
A: Martin Huber specializes in applying machine learning techniques to economic problems, bringing advanced computational methods to traditional fields like econometrics, forecasting, and financial analysis.

### Q: What languages does Martin Huber use in his academic work?
A: Martin Huber works professionally in both English and German, as documented in his academic profiles and professional communications.

### Q: What is Martin Huber's current position?
A: Martin Huber is currently employed as an economist, university teacher, and scientist at the University of Fribourg.

## Why They Matter
Martin Huber represents an important bridge between traditional economics and modern data science. By incorporating machine learning techniques into economic research, he helps advance the field of econometrics to better handle complex, high-dimensional datasets typical in modern finance and economic analysis. His interdisciplinary approach contributes to more accurate forecasting models and statistical methods, potentially influencing economic policy decisions and financial market predictions. Without researchers like Huber who specialize in this intersection, economic modeling might not fully leverage recent advances in computational statistics and machine learning.

## Notable For
- Specialization in applying machine learning techniques to economic problems
- Multidisciplinary research spanning economics, finance, econometrics, statistics, and data science
- Current position as university teacher and scientist at University of Fribourg
- Recognition with multiple academic identifiers including RePEc, MR Author ID, and Google Scholar profiles
- Professional communication through academic channels including Twitter (MHuberEcon)

## Body
### Personal Details
- Full name: Martin Huber
- Birth date: May 6, 1980
- Birth place: Innsbruck
- Sex: Male
- Languages spoken: English, German

### Academic Background
- Education: Doctorate from University of St. Gallen (2010)
- Doctoral advisor: Michael Lechner
- Current position: Economist, university teacher, scientist at University of Fribourg

### Research Fields
- Economics
- Finance
- Econometrics
- Statistics
- Data processing
- Data analysis
- Forecasting
- Machine learning

### Professional Identifiers
- ISNI: 0000000378976997
- RePEc short ID: phu202
- MR Author ID: 951987
- Google Scholar Author ID: c52V71kAAAAJ
- Yale Lux ID: person/8a352422-683c-4c1c-bac9-a11c16a1ccd5
- NTK ID: ntk20251282793
- Twitter handle: MHuberEcon (since September 2019)

### Academic References
- CV document: https://www3.unifr.ch/appecon/en/assets/public/CV%20Martin%20Huber_17.11.2020.pdf
- Referenced in NTK academic registry with ID ntk20251282793

## References

1. [Source](https://www3.unifr.ch/appecon/en/assets/public/CV%20Martin%20Huber_17.11.2020.pdf)
2. Czech National Authority Database
3. Virtual International Authority File
4. Integrated Authority File