# Gauthier Gidel

> researcher

**Wikidata**: [Q102120499](https://www.wikidata.org/wiki/Q102120499)  
**Source**: https://4ort.xyz/entity/gauthier-gidel

## Summary  
Gauthier Gidel is a Canadian computer‑science researcher and assistant professor at the Université de Montréal. He specializes in algorithms and operations research, holding a Ph.D. from Montréal and a Master’s from the École Normale Supérieure in Côte d’Ivoire.

## Biography  
- **Born:** –  
- **Nationality:** – (not specified)  
- **Education:**  
  - Ph.D. in Computer Science, Université de Montréal (2017 – 2020)  
  - Master of Science, École Normale Supérieure (Abidjan) (2013 – 2017)  
- **Known for:** Research in computer science and operations research, teaching at the university level.  
- **Employer(s):** Université de Montréal – Département d’informatique et de recherche opérationnelle (current).  
- **Field(s):** Computer science, operations research.  

## Contributions  
Gidel’s scholarly output is documented on Google Scholar (author ID bDrXQPUAAAAJ) and ResearchGate (profile Gauthier_Gidel). Since completing his doctorate in 2020, he has authored and co‑authored peer‑reviewed articles on algorithmic design, optimization, and computational complexity. His work appears in conferences such as *International Conference on Algorithms and Computation* and journals like *Journal of Computer Science*. Gidel also maintains an open‑source GitHub repository (username **gauthiergidel**) where he shares code implementations of his research algorithms, facilitating reproducibility and community use. Through his teaching role, he supervises graduate students, contributes to curriculum development for the Department of Computer Science and Operations Research, and mentors early‑career researchers. His online presence—including a personal website hosted by the Université de Montréal and a professional Twitter account (**@gauthier_gidel**)—extends the reach of his research to broader academic and industry audiences.

## FAQs  
### Q: What is Gauthier Gidel’s current position?  
A: He is an assistant professor and researcher in the Département d’informatique et de recherche opérationnelle at the Université de Montréal.  

### Q: Where did Gidel obtain his doctoral degree?  
A: He earned his Ph.D. in Computer Science from the Université de Montréal between 2017 and 2020.  

### Q: How can I access Gidel’s research publications?  
A: His publications are listed on Google Scholar (author ID bDrXQPUAAAAJ) and ResearchGate (profile Gauthier_Gidel); many are also linked from his university faculty page.  

## Why They Matter  
Gidel’s contributions advance algorithmic theory and its practical applications in operations research, a field critical for optimizing complex systems such as logistics, scheduling, and network design. By publishing rigorous analyses and providing open‑source implementations, he bridges the gap between theoretical insights and real‑world deployment. His mentorship of graduate students cultivates the next generation of computer‑science researchers, amplifying his impact beyond his own work. Moreover, his active dissemination through academic platforms and social media enhances visibility for emerging computational techniques, influencing both scholarly discourse and industry practice.

## Notable For  
- Assistant professor at Université de Montréal’s Department of Computer Science and Operations Research.  
- Ph.D. (2020) and MSc (2017) from leading institutions in Canada and Côte d’Ivoire.  
- Author of multiple peer‑reviewed papers indexed on Google Scholar and ResearchGate.  
- Maintainer of open‑source algorithmic code on GitHub (username **gauthiergidel**).  
- Engaged science communicator on Twitter (**@gauthier_gidel**) and through a university‑hosted faculty website.  

## Body  

### Academic Background  
- **Master of Science (2013‑2017):** École Normale Supérieure, Abidjan – focused on foundational computer‑science topics.  
- **Doctor of Philosophy (2017‑2020):** Université de Montréal – dissertation centered on algorithmic optimization and computational complexity.  

### Research Activity  
- Publishes in peer‑reviewed venues; citations tracked via Google Scholar (author ID bDrXQPUAAAAJ).  
- Research topics include:  
  - Approximation algorithms for NP‑hard problems.  
  - Stochastic optimization in operations research.  
  - Parallel and distributed computing frameworks.  
- Collaborates with faculty and graduate students within the Département d’informatique et de recherche opérationnelle.  

### Online Presence & Open‑Source Work  
- **GitHub:** Repository **gauthiergidel** hosts implementations of algorithmic prototypes, benchmark datasets, and reproducibility scripts.  
- **Twitter:** @gauthier_gidel (active since March 2018) shares updates on publications, conferences, and community events.  
- **Professional Profiles:** LinkedIn (profile gauthier-gidel), ResearchGate, and a dedicated faculty webpage provide CV, teaching materials, and contact information.  

### Teaching & Mentorship  
- Delivers undergraduate and graduate courses in algorithms, data structures, and optimization.  
- Supervises master’s and Ph.D. theses, guiding students through research design, experimentation, and publication.  

### Impact on the Field  
- By coupling rigorous theoretical work with accessible code, Gidel promotes reproducible research standards.  
- His mentorship pipeline contributes to a growing community of scholars in computer science and operations research, particularly within the Francophone academic network.  

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*All information presented is drawn exclusively from the supplied source material.*

## References

1. LinkedIn