# Russell Greiner

> researcher ORCID ID = 0000-0001-8327-934X

**Wikidata**: [Q22278023](https://www.wikidata.org/wiki/Q22278023)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Russell_Greiner)  
**Source**: https://4ort.xyz/entity/russell-greiner

## Summary
Russell Greiner is a Canadian computer scientist and researcher specializing in artificial intelligence and machine learning. He serves as a university teacher and researcher, notably affiliated with the University of Alberta. Greiner is recognized as an AAAI Fellow for his significant contributions to the theory of statistical machine learning and its applications in bioinformatics and medical informatics.

## Biography
*   **Nationality:** Canada
*   **Education:**
    *   Doctor of Philosophy (Ph.D.), Stanford University (conferred 1985)
    *   California Institute of Technology (Caltech)
*   **Doctoral Advisor:** Michael Genesereth
*   **Known for:** Contributions to statistical machine learning, bioinformatics, and medical informatics.
*   **Employer(s):**
    *   University of Alberta (Started 1997/1998)
    *   Siemens (1992–1997)
    *   University of Toronto (1986–1991)
*   **Field(s):** Machine Learning, Artificial Intelligence

## Contributions
Russell Greiner has made significant contributions to the field of computer science, specifically within the domains of artificial intelligence and machine learning. His work bridges the gap between theoretical algorithms and practical application, particularly in the biological and medical sectors.

While specific publication titles are not listed in the source material, his contributions are defined by his recognition as an AAAI Fellow in 2007. This award specifically cites his work on the "theory of statistical machine learning," indicating his role in advancing the mathematical and statistical foundations that allow computer systems to perform tasks without explicit instructions. Furthermore, he is noted for applying these theories to "bioinformatics and medical informatics," suggesting his research has facilitated the use of computational methods to analyze biological data and improve healthcare systems.

Greiner has also maintained a dual presence in academia and industry. He worked in the industrial sector for Siemens AG between 1992 and 1997 before returning to academia at the University of Alberta, where he has served as a faculty member for over two decades.

## FAQs

### Q: What is Russell Greiner's primary field of research?
A: Russell Greiner specializes in machine learning and artificial intelligence, with a specific focus on statistical machine learning theory.

### Q: Which academic institutions is Russell Greiner affiliated with?
A: He earned his Ph.D. from Stanford University and attended the California Institute of Technology. Professionally, he has worked for the University of Toronto and, since the late 1990s, the University of Alberta.

### Q: What major award has Russell Greiner received?
A: He was named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 2007.

### Q: Did Russell Greiner work in industry?
A: Yes, he worked for Siemens, a multinational conglomerate, from 1992 to 1997.

## Why They Matter
Russell Greiner matters to the scientific community due to his enduring impact on the intersection of theoretical computer science and practical application. His election as an AAAI Fellow places him among a distinguished group of researchers who have shaped the trajectory of artificial intelligence. By focusing on statistical machine learning, Greiner has contributed to the fundamental understanding of how algorithms learn from data.

His significance is further highlighted by his application of these theories to bioinformatics and medical informatics. In these fields, his work potentially influences how complex biological data is processed and how medical decisions are supported by computational models. Furthermore, his career trajectory—moving from the University of Toronto to a major industrial role at Siemens, and then to a long tenure at the University of Alberta—demonstrates a commitment to both academic instruction and real-world technological implementation.

## Notable For
*   **AAAI Fellow:** Elected in 2007 for contributions to statistical machine learning, bioinformatics, and medical informatics.
*   **Machine Learning Research:** Recognized as a key researcher in the scientific study of algorithms and statistical models.
*   **Stanford Alumnus:** Received his Ph.D. from Stanford University in 1985 under the supervision of notable computer scientist Michael Genesereth.
*   **Academic Leadership:** Has served as a university teacher and researcher at the University of Alberta since the late 1990s.

## Body

### Academic Background
Russell Greiner completed his higher education at top-tier institutions. He obtained his Doctor of Philosophy from Stanford University on September 1, 1985. His doctoral advisor was Michael Genesereth, a prominent figure in computer science and artificial intelligence. Prior to his doctoral work, Greiner was educated at the California Institute of Technology (Caltech).

### Professional Career
Greiner's career reflects a blend of academic and industrial experience:
*   **University of Toronto:** Served as a faculty or staff member from 1986 to 1991.
*   **Siemens:** Transitioned to the private sector, working for the industrial conglomerate Siemens from 1992 to 1997.
*   **University of Alberta:** Joined the university around 1997/1998 and remains a key figure there as a computer scientist and university teacher.

### Research and Recognition
Greiner's primary field of work is Machine Learning, a subset of Artificial Intelligence. His specific research interests include the theoretical underpinnings of statistical models.

In 2007, he was honored as a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI). The citation for this award highlighted his dual contribution to the *theory* of statistical machine learning and the *application* of these theories within the life sciences (bioinformatics and medical informatics).

### Identifiers and Profiles
Greiner maintains a significant digital footprint in the academic community, including an ORCID ID of 0000-0001-8327-934X and a Google Scholar Author ID of Rn7APGIAAAAJ. He is listed in the Mathematics Genealogy Project under ID 146303.

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## References

1. Mathematics Genealogy Project
2. [Source](https://rgreiner6.wixsite.com/greiner/about-me)
3. [Source](http://orcid.org/0000-0001-8327-934X)
4. [Source](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/)
5. Virtual International Authority File
6. CiNii Research