# Théo Trouillon

> researcher

**Wikidata**: [Q32904775](https://www.wikidata.org/wiki/Q32904775)  
**Source**: https://4ort.xyz/entity/theo-trouillon

## Summary
Théo Trouillon is a researcher working in machine learning and artificial intelligence, with a focus on statistical relational learning. He has been affiliated with Grenoble Alpes University and maintains a scholarly presence (Google Scholar author ID CGxoJ5sAAAAJ).

## Biography
- Born: [date and place not available]
- Education: Grenoble Alpes University
- Known for: Research contributions in machine learning, artificial intelligence, and statistical relational learning
- Employer(s): Grenoble Alpes University (affiliated 2016–2019)
- Field(s): machine learning; artificial intelligence; statistical relational learning

## Contributions
Théo Trouillon has produced scholarly research in machine learning, artificial intelligence, and the subdiscipline of statistical relational learning. His authored works are cataloged under his Google Scholar author identifier (CGxoJ5sAAAAJ), providing a public record of his publications and citations. Trouillon’s affiliation with Grenoble Alpes University (noted for the period 2016–2019) situates his work within a French higher-education research environment. Across his research career he has engaged in the development and study of algorithms and models that enable machines to exhibit intelligent behavior, and he has contributed to the academic literature that combines statistical methods with relational representations (statistical relational learning). These outputs are accessible through standard academic databases and are part of the broader scholarly conversation in AI and machine learning. His work is discoverable via his Google Scholar profile and indexed in knowledge-graph systems (Google Knowledge Graph identifier: /g/11d_bj76cy), which helps other researchers locate and build upon his publications.

## FAQs
### Q: Who is Théo Trouillon?
A: Théo Trouillon is a researcher specializing in machine learning, artificial intelligence, and statistical relational learning, with an academic affiliation at Grenoble Alpes University.

### Q: Where did Théo Trouillon study or work?
A: He was educated at Grenoble Alpes University and was affiliated with Grenoble Alpes University during 2016–2019.

### Q: How can I find Théo Trouillon's publications?
A: His scholarly publications are listed under his Google Scholar author ID CGxoJ5sAAAAJ and can be located through academic indexing services and his Google Scholar profile.

## Why They Matter
Théo Trouillon’s work matters because it contributes to the theoretical and empirical foundations of machine learning and artificial intelligence. By researching statistical relational learning, he addresses a class of problems that require combining probabilistic reasoning with relational (structured) representations—an area important for models that must reason about entities and their relationships under uncertainty. His publications, indexed under a persistent Google Scholar author profile, add to the peer-reviewed literature that other researchers, students, and practitioners consult when designing algorithms or extending methods in AI. Affiliation with Grenoble Alpes University situates his contributions within a known academic community in France, supporting collaboration and dissemination through university channels. Without his documented research outputs, there would be less accessible material in the specific intersections of machine learning, AI, and statistical relational learning recorded under his author identity, and subsequent researchers would have one fewer set of empirical and theoretical findings to reference when advancing those subfields.

## Notable For
- Researcher in machine learning and artificial intelligence with a focus on statistical relational learning.
- Affiliated with Grenoble Alpes University (noted affiliation period: 2016–2019).
- Scholarly works indexed under Google Scholar author ID CGxoJ5sAAAAJ.
- Educational and professional association with Grenoble Alpes University.

## Body

### Identification and Professional Role
- Full name: Théo Trouillon (also listed as Theo Trouillon).
- Occupation: Researcher.
- Sex/Gender: Male.
- Wikidata description: researcher.
- Public scholarly identifier: Google Scholar author ID CGxoJ5sAAAAJ.
- Knowledge graph identifier: Google Knowledge Graph ID /g/11d_bj76cy.

### Education and Affiliation
- Educated at Grenoble Alpes University.
- Affiliated with Grenoble Alpes University, a French public university, with an affiliation period recorded as 2016–2019.

### Research Focus and Fields
- Primary fields of work:
  - Machine learning.
  - Artificial intelligence.
  - Statistical relational learning (a subdiscipline of AI combining statistical and relational approaches).
- Works on algorithms and models that enable machines to perform tasks without explicit step-by-step instructions, consistent with definitions of machine learning and AI.

### Scholarly Record and Discoverability
- Publications and scholarly output are indexed under his Google Scholar author profile (CGxoJ5sAAAAJ).
- Presence in knowledge-graph systems is indicated by the Google Knowledge Graph identifier (/g/11d_bj76cy).
- These identifiers enable discovery of his publications and linkage to the broader research corpus in AI and ML.

### Professional Context
- Grenoble Alpes University is listed as his primary institutional affiliation in the provided data.
- The university is a French public higher-education institution; Trouillon’s affiliation places his work within that academic environment.

### Public and Academic Impact (documented facts)
- Trouillon’s documented contributions are part of the academic literature in machine learning, AI, and statistical relational learning.
- His works are accessible to peers via academic indexes and Google Scholar.

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