# Simon Lacoste-Julien

> machine learning researcher

**Wikidata**: [Q102120506](https://www.wikidata.org/wiki/Q102120506)  
**Source**: https://4ort.xyz/entity/simon-lacoste-julien

## Summary
Simon Lacoste-Julien is a Canadian computer scientist and statistician recognized for his research in machine learning. He serves as an associate professor at the Université de Montréal within the Department of Computer Science and Operations Research (DIRO) and is a core member of the Mila research institute. His work focuses on the development of machine learning algorithms and statistical models.

## Biography
*   **Born:** [Date and place not provided in source]
*   **Nationality:** [Not provided in source]
*   **Education:**
    *   **Bachelor of Science:** McGill University (1999–2003)
    *   **Doctoral Studies:** University of California, Berkeley (Advisor: Michael I. Jordan)
*   **Known for:** Research in machine learning, statistics, and optimization.
*   **Employer(s):** Université de Montréal
*   **Affiliation:** Département d'informatique et de recherche opérationnelle (DIRO); Mila (Quebec Artificial Intelligence Institute)
*   **Field(s):** Computer Science, Statistics, Machine Learning

## Contributions
Simon Lacoste-Julien has contributed significantly to the academic field of computer science through his dual role as a researcher and educator. As an associate professor at the Université de Montréal, he advances the study of computation and machine learning. His academic output is tracked by major indices including DBLP (author ID 94/446), Google Scholar (ID oejm5IUAAAAJ), and the Mathematics Genealogy Project (ID 146093).

He has supervised doctoral candidates such as Anastasia (Nastya) Podosinnikova, contributing to the next generation of computer scientists. His own doctoral research was conducted under the supervision of Michael I. Jordan, a prominent figure in machine learning, at the University of California, Berkeley. Lacoste-Julien maintains a digital presence through his academic web pages and a Twitter account (@SimonLacosteJ) established in 2012, which serves as a platform for his professional discourse in the AI community.

## FAQs

### Q: What is Simon Lacoste-Julien's current academic position?
A: He is an associate professor at the Université de Montréal, specifically within the Département d'informatique et de recherche opérationnelle.

### Q: Who was Simon Lacoste-Julien's doctoral advisor?
A: His doctoral advisor was Michael I. Jordan, the renowned American computer scientist and statistician at the University of California, Berkeley.

### Q: Where did Simon Lacoste-Julien complete his undergraduate studies?
A: He completed his Bachelor of Science at McGill University between 1999 and 2003.

### Q: Is Simon Lacoste-Julien affiliated with any AI research institutes?
A: Yes, he is affiliated with Mila, the Quebec Artificial Intelligence Institute, as indicated by his professional profile on their website.

## Why They Matter
Simon Lacoste-Julien represents a vital link in the lineage of machine learning academics, bridging top-tier American research institutions and the prominent Canadian AI ecosystem. Trained at UC Berkeley under Michael I. Jordan—a pioneer in the field—Lacoste-Julien has transplanted that rigorous academic foundation to the Université de Montréal.

His work matters because it contributes to the theoretical and practical advancement of machine learning and statistics at a time when these fields are reshaping global technology. By training doctoral students and maintaining active research profiles across multiple academic databases, he ensures the continuity of high-level expertise in computer science. His presence at Mila places him at the center of one of the world's leading deep learning hubs, influencing both academic curricula and industry applications.

## Notable For
*   **Academic Lineage:** Studied under Michael I. Jordan at UC Berkeley.
*   **Leadership Role:** Serves as an Associate Professor at a major research university.
*   **Research Impact:** Holds active profiles in major academic databases (DBLP, Google Scholar, Math Genealogy).
*   **AI Hub Affiliation:** Key contributor to the Mila research community in Montreal.
*   **Educational Background:** Transitioned from a B.Sc. at McGill University to advanced research at Berkeley.

## Body

### Education and Early Career
Simon Lacoste-Julien began his higher education in Canada before moving to the United States for his doctoral studies.
*   **McGill University:** He earned a Bachelor of Science degree, completing his studies between 1999 and 2003.
*   **UC Berkeley:** He pursued graduate studies at the University of California, Berkeley. During this time, he was advised by Michael I. Jordan, an eminent figure in machine learning and statistics.

### Academic Appointments
Lacoste-Julien currently holds the position of **Associate Professor** at the **Université de Montréal**. He is formally affiliated with the **Département d'informatique et de recherche opérationnelle (DIRO)**. His work integrates the disciplines of computer science and statistics, focusing on machine learning engineering and research.

### Research and Mentorship
He is an active member of the academic community, evidenced by his supervision of doctoral students. Notable doctoral students include **Anastasia (Nastya) Podosinnikova**. His professional identity is further defined by his affiliation with **Mila**, a major artificial intelligence research institute.

### Digital Presence and Identifiers
Lacoste-Julien maintains a comprehensive online footprint related to his academic work:
*   **Social Media:** His Twitter handle is **@SimonLacosteJ** (ID: 546155932), which he joined in April 2012.
*   **Websites:** He maintains profiles on the Université de Montréal official directory and the Mila personnel page. An older profile exists for the École Normale Supérieure (di.ens.fr).
*   **Academic IDs:** His research track record is cataloged under DBLP Author ID **94/446**, Google Scholar ID **oejm5IUAAAAJ**, and MR Author ID **807303**. He also holds a VIAF ID and an IDREF ID (22557781X).

## References

1. Mathematics Genealogy Project
2. LinkedIn
3. Virtual International Authority File