CV
Basics
Name | Quentin Fournier |
quentin.fournier@mila.quebec | |
Phone | +1(438) 722-3154 |
Summary | I’m a Research Fellow at Mila, where I’m leading a thematic lab on language models for drug discovery. I'm currently focusing on understanding how to adapt all aspects of the LLM pipeline, from data processing and pre-training to alignment and evaluation, to the unique characteristics of biological data such as genomes, proteins, and small molecules. |
Work
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2024 - Present Montréal, CA
Consultant as Senior Machine Learning Scientist
Amgen
Designing novel machine learning solutions for the drug discovery pipeline.
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2024 - Present Montréal, CA
Research Fellow
Mila
Leading a thematic research lab focused on advancing machine learning for drug discovery.
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2019 - 2022 Montréal, CA
Lecturer
Polytechnique Montréal
- Taught INF8111-Data Mining (Graduate-level) for Fall 2019, Summer 2020, Fall 2020, and Fall 2022 semesters.
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2018 - 2018 Rennes, FR
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2018 - 2021 Montréal, CA
Teacher Assistant
Polytechnique Montréal
- INF8111 - Data Mining (Summer 2021, Fall 2021) (graduate-level)
- INF8215 - Artificial Intelligence: Methods and Algorithms (Fall 2018) (graduate-level)
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2017 - 2017 Rennes, FR
Research Internship
Institut de Recherche en Informatique et Système Aléatoire (IRISA)
- Supervised by Christian Raymond.
Volunteer
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2016 - 2016 Rennes, FR
Lead Developer
Club'Dev
Developed the student association website and tutored computer science students.
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2016 - 2016 Rennes, FR
Webmaster
Rock'n Solex
Developed the website for a student festival combining Solex racing and music since 1967.
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2014 - 2014 Rennes, FR
Member of the Network Team
INSALAN
Contributed to the deployment of hardware and software for a LAN tournament with over 100 players.
Education
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2023 - 2024 Montréal, CA
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2018 - 2022 Montréal, CA
Ph.D.
Polytechnique Montréal
Computer and Software Engineering
- Supervisors: Daniel Aloise and Michel R. Dagenais
- Award: Nominated for Best Thesis Award
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2013 - 2018 Rennes, FR
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2008 - 2013 Fougères, FR
Awards
- 2022
Nominated for Best Thesis Award
Polytechnique Montréal
Nominated for outstanding doctoral research and thesis in the Computer and Software Engineering department.
Skills
Data Mining & Machine Learning | |
Deep Learning: Transformers, Low-Complexity Transformers, Deep and Variational Autoencoders | |
Machine Learning: SVM, LDA, QDA, KNN, Naive Bayes, Decision Trees, KMeans, DBSCAN, OPTICS, Gaussian Mixture Models | |
Data Mining: Logging and tracing, data munging, statistical analysis, data visualization |
Programming, Libraries & Tools | |
Languages: Python, LaTeX, Bash | |
Libraries: PyTorch, WandB, Hydra, Scikit-learn, Scipy, Matplotlib, Seaborn | |
Tools: Git, Slurm, VS Code |
Languages
French | |
Native Speaker |
English | |
Proficient |
References
Available upon request | |
Projects
- 2023 - Present
Supervision of Ph.D. Students
- Gabriele Prato (Mila, UdeM, 2025-Present): LLMs Groundness - with Sarath Chandar
- Davide Baldelli (Mila, PolyMTL, 2025-Present): Computer-Aided Design (CAD) with LLMs - with Sarath Chandar
- Léa Kaufman (Mila, UdeM, 2025-Present): Gene Expression Across Cell Lines - with Sébastien Lemieux
- Darshan Patil (Mila, PolyMTL, 2024-Present): Lifelong Pre-trained Language Models - with Sarath Chandar
- Prashant Govindarajan (Mila, PolyMTL, 2024-Present): Computer Aided Design (CAD) with LLMs - with Sarath Chandar
- Lola Le Breton (Mila, PolyMTL, 2023-Present): Protein Language Models - with Sarath Chandar
- David Heurtel-Depeiges (Mila, PolyMTL, 2023-Present): Diffusion Protein Language Models - with Sarath Chandar
- Pranshu Malviya (Mila, PolyMTL, 2023-Present): Neural Network Expansion & Lifelong PLMs - with Sarath Chandar
- Jerry Huang (Mila, UdeM, 2023-Present): Role of Memory & Protein State-Space Models - with Sarath Chandar
- 2021 - Present
Supervision of Master's, Researchers & Interns
- Istabrak Abbes (Mila, UdeM, Master, 2024-Present): LLMs Groundness - with Sarath Chandar
- Megh Thakkar (Mila, UdeM, Master, 2023-2025): Safety Alignment & Model Merging - with Sarath Chandar and Amal Zouaq
- Maziar Sargordi (Mila, PolyMTL, Master, 2023-2024): NN with Constraint Programming - with Sarath Chandar and Amal Zouaq
- Behnoush Khavari (Mila, Researcher, 2023-Present): Role of Memory; Protein State-Space Model - with Sarath Chandar
- Kamran Chitsaz (Mila, Researcher, 2023-Present): Transformer Quantization; Molecule Language Models - with Sarath Chandar
- Alex Aselstyne (PolyMTL, Intern, 2025-Present): Antimicrobial Resistance Prediction - with Sarath Chandar
- Can (Sam) Chen (Mila, UdeM, Intern, 2025): Structure Alignment for Protein Language - with Yoshua Bengio
- Annabel Adeyeri (Mila, MIT, Intern, 2023): Fairness in Pre-Trained Language Models - with Sarath Chandar
- Julia Rolland (UTBM, PolyMTL, Intern, 2021): ML to Detect Anomalies in Traces - with Daniel Aloise