Scholar
Abdel Ghani Labassi
Google Scholar ID: 5hPZvQcAAAAJ
PhD Candidate
Citations & Impact
Citations
54
H-index
1
i10-index
1
Publications
2
Co-authors
4
list available
Publications
Resume
Academic Achievements
- - Publications/In the pipeline: Preconditioned subgradient method for composite optimization: overparameterization and fast convergence (with Mateo Díaz and Liwei Jiang, 2025); Learning to Compare Nodes in Branch and Bound with Graph Neural Networks (with Didier Chetelat and Andrea Lodi, NeurIPS, 2022)
- - Projects: Kaggle Reddit Comment Classification Competition (team ranked 4th out of 103 teams using a BERT model); Unsupervised Tweet Clustering for Mental Health (collaborated with Health Canada Team to detect signs of depression and suicidal tendencies from tweets)
Research Experience
- - Teaching Assistant/Course Developer: AMS662: Optimization for Data Science (CD, 2025), AMS661: Optimization for Finance (TA, 2022-2024), AMS663: Network Models (TA, 2022-2023), IFT2125: Intro to Algorithmics (TA, 2021-2022), IFT2105: Intro to Theoretical CS (TA, 2019)
Education
- - PhD: Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, Maryland, USA, Advisor: Mateo Díaz (2025)
- - MSc: Computer Science, Université de Montréal, Quebec, Canada, Advisors: Didier Chetelat and Andrea Lodi, affiliated to the Canada Excellence Research Chair in Data-Science for Decision-Making (2021)
- - BSc: Double major in Computer Science and Mathematics, Université de Montréal, Quebec, Canada (2019)
Background
- - Research Interest: Optimization and machine learning
- - Professional Field: Applied Mathematics and Statistics
- - Bio: Currently pursuing a PhD in Applied Mathematics and Statistics at Johns Hopkins University, advised by Mateo Díaz.
Miscellany
- - Hobbies: Development of a Random Photograph Generator website
