# Michael Riis Andersen

> machine learning researcher

**Wikidata**: [Q30169795](https://www.wikidata.org/wiki/Q30169795)  
**Source**: https://4ort.xyz/entity/michael-riis-andersen

## Summary
Michael Riis Andersen is a Danish machine learning researcher affiliated with the Technical University of Denmark. He is known for his contributions to Bayesian sensing and neural networks, with notable academic roles including postdoctoral positions at Aalto University and Aarhus University.

## Biography
- Born: 2000
- Nationality: Denmark
- Education: Technical University of Denmark
- Known for: Advancing Bayesian neural networks and active sensing techniques
- Employer(s): Technical University of Denmark (assistant professor, 2019–2021), Aalto University (postdoctoral researcher, 2017–2019), Aarhus University (research assistant, 2011–2012)
- Field(s): Machine learning

## Contributions
Michael Riis Andersen has contributed to machine learning research, particularly in Bayesian neural networks and active sensing. He has supervised doctoral students in projects such as "Counterfactual Techniques in Healthcare" and "Bayesian Neural Networks for Molecular Discovery." His work has been documented in academic publications and projects hosted on platforms like ORBIT.dtu.dk. Andersen has also collaborated with researchers like Lars Kai Hansen and Ole Winther, furthering his expertise in machine learning methodologies.

## FAQs
### Q: What is Michael Riis Andersen's primary field of research?
A: Michael Riis Andersen specializes in machine learning, with a focus on Bayesian neural networks and active sensing techniques.

### Q: Where did Michael Riis Andersen complete his education?
A: He earned his degrees from the Technical University of Denmark.

### Q: Who are Michael Riis Andersen's doctoral advisors?
A: His advisors include Lars Kai Hansen and Ole Winther.

### Q: What notable projects has Michael Riis Andersen worked on?
A: He has supervised projects such as "Counterfactual Techniques in Healthcare" and "Bayesian Neural Networks for Molecular Discovery."

## Why They Matter
Michael Riis Andersen's work in machine learning has contributed to advancements in Bayesian neural networks and active sensing. His research has influenced academic projects at institutions like the Technical University of Denmark and Aalto University. By developing innovative techniques, he has helped shape the field of machine learning, particularly in applications related to healthcare and molecular discovery.

## Notable For
- Supervised doctoral students in high-impact machine learning projects.
- Collaborated with leading researchers in the field.
- Published work on Bayesian neural networks and active sensing.
- Held academic positions at prestigious institutions.

## Body
### Education and Early Career
Michael Riis Andersen completed his education at the Technical University of Denmark. His early career included roles as a research assistant at Aarhus University (2011–2012) and postdoctoral researcher at the Technical University of Denmark (2017–2017).

### Research Focus
Andersen's research primarily focuses on machine learning, particularly Bayesian neural networks and active sensing. He has supervised doctoral students in projects such as "Counterfactual Techniques in Healthcare" and "Bayesian Neural Networks for Molecular Discovery."

### Academic Collaborations
He has collaborated with researchers like Lars Kai Hansen and Ole Winther, contributing to advancements in machine learning methodologies.

### Professional Achievements
Andersen has held academic positions at institutions such as Aalto University and the Technical University of Denmark, furthering his expertise in machine learning.

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Michael Riis Andersen",
  "jobTitle": "Machine Learning Researcher",
  "worksFor": {"@type": "Organization", "name": "Technical University of Denmark"},
  "nationality": {"@type": "Country", "name": "Denmark"},
  "birthDate": "2000",
  "alumniOf": [{"@type": "EducationalOrganization", "name": "Technical University of Denmark"}],
  "knowsAbout": ["Machine Learning", "Bayesian Neural Networks"],
  "sameAs": ["https://michaelriis.github.io/", "https://orbit.dtu.dk/en/persons/michael-riis-andersen"],
  "description": "Danish machine learning researcher specializing in Bayesian neural networks and active sensing techniques."
}

## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-7411-5842/employment/11803252)
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-7411-5842/employment/11803162)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-7411-5842/employment/11802938)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-7411-5842/employment/11802705)
5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-7411-5842/employment/11802831)
6. [Source](http://orbit.dtu.dk/en/projects/active-bayesian-sensing(5f45a978-4642-48d8-b63d-1bfc9989855c).html)
7. [Source](https://orbit.dtu.dk/en/projects/counterfactual-techniques-in-healthcare)
8. [Source](https://orbit.dtu.dk/en/projects/bayesian-neural-networks-for-molecular-discovery)
9. [Source](https://orbit.dtu.dk/en/projects/rrs-dk-responsible-recommender-systems-for-danish-news-publishing/)