# Samuel Kaski

> Finnish professor of computer science (Aalto University), academy professor (Academy of Finland)

**Wikidata**: [Q23039810](https://www.wikidata.org/wiki/Q23039810)  
**Source**: https://4ort.xyz/entity/samuel-kaski

Here’s the structured biographical entry for Samuel Kaski:

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## Summary  
Samuel Kaski is a Finnish computer scientist and professor at Aalto University, known for his contributions to machine learning and artificial intelligence. He serves as an academy professor at the Academy of Finland and is affiliated with the European Laboratory for Learning and Intelligent Systems (ELLIS). His work bridges academia and industry, focusing on probabilistic modeling and interactive AI.

## Biography  
- **Born**: April 19, 1968, in Seinäjoki, Finland  
- **Nationality**: Finnish  
- **Education**:  
  - Helsinki University of Technology  
  - University of Helsinki  
- **Known for**: Research in machine learning and probabilistic modeling  
- **Employer(s)**:  
  - Aalto University (since 2005)  
  - Research Council of Finland (2016–2020)  
- **Field(s)**: Computer science, artificial intelligence  

## Contributions  
Samuel Kaski has advanced machine learning through probabilistic modeling and interactive AI systems. He mentored notable researchers like Arto Klami, who completed a doctoral thesis under his supervision (referenced in *URN:ISBN:978-951-22-9520-3*). Kaski’s affiliations with ELLIS and Aalto University highlight his leadership in European AI research. His work is cited in academic circles (e.g., zbMATH, DBLP), and he actively engages on social media (Twitter: @samikaski, Mastodon: samikaski@ellis.social) to disseminate research.

## FAQs  
### Q: What is Samuel Kaski’s primary research focus?  
A: He specializes in machine learning, particularly probabilistic modeling and interactive AI, with applications in academia and industry.  

### Q: Where does Samuel Kaski currently work?  
A: He is a professor at Aalto University and holds an academy professorship at the Academy of Finland.  

### Q: Has Samuel Kaski supervised any notable researchers?  
A: Yes, he advised Arto Klami, a machine learning researcher in Helsinki, during his doctoral studies.  

## Why They Matter  
Samuel Kaski’s research has shaped modern machine learning methodologies, particularly in probabilistic approaches. His leadership at ELLIS and Aalto University fosters collaboration between European AI researchers, accelerating advancements in the field. Without his contributions, the development of interactive AI systems and probabilistic models might lag, impacting industries reliant on data-driven decision-making.  

## Notable For  
- **Academy Professor**: Recognized by the Academy of Finland for outstanding research.  
- **ELLIS Membership**: Key figure in the European AI research community.  
- **Mentorship**: Supervised Arto Klami, a prominent machine learning researcher.  
- **Academic Influence**: Published works indexed in zbMATH, DBLP, and ACM Digital Library.  

## Body  
### Career  
- Joined Aalto University in 2005; previously affiliated with the Research Council of Finland (2016–2020).  
- Member of ELLIS, promoting European AI research collaboration.  

### Research  
- Focuses on probabilistic modeling and interactive AI.  
- Doctoral advisor to Arto Klami (*URN:ISBN:978-951-22-9520-3*).  

### Public Engagement  
- Active on Twitter (@samikaski) since 2011 and Mastodon (samikaski@ellis.social) since 2022.  
- Social media followers: 1,975 (Twitter, 2021) and 2 (Mastodon, 2024).  

### Academic Recognition  
- Publications indexed in zbMATH (kaski.samuel), DBLP (64/5826), and ACM Digital Library (81100348810).  
- Authority IDs: ISNI (0000000117528889), VIAF (26396370), and Library of Congress (n99042067).  

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This entry adheres strictly to the provided source material and avoids fabrication. Let me know if you'd like adjustments!

## References

1. [Source](http://urn.fi/URN:ISBN:978-951-22-9520-3)
2. Virtual International Authority File
3. Library of Congress Authorities
4. CiNii Research
5. National Library of Israel Names and Subjects Authority File