CV
My academic and research journey.
Contact Information
| Name | Samuel Vangu |
| Professional Title | Computer Science and Mathematics Student |
| samuelvangu0@email.com | |
| Phone | +33 6 02 95 41 83 |
| Location | 55 Allée Condillac, Grenoble, Isère 38400 |
| Website | https://Samuel-Vangu.github.io |
Experience
-
2026 - 2026 Research Intern
LJK Laboratory - DAO Team
- Reproduced and analyzed experiments from ‘Optimal Transport for Domain Adaptation’ (Courty et al., 2015)
- Contributed to the open-source Julia ecosystem through a pull request to OptimalTransport.jl
- Studied research literature on Monte Carlo methods, quasi-Monte Carlo integration, optimal transport theory, and their applications in machine learning
- Supervised by Quoc-Tung Le and Matthieu Besançon
Education
-
2025 - 2028 Bachelor's Degree
Université Grenoble Alpes (UGA)
Computer Science and Mathematics
- Linear Algebra
- Probability
- Statistics
- Algorithms
Awards
-
2025 National Excellencia Scholarship Competition - 2nd Place
Ranked 2nd nationwide in the Excellencia Excellence Scholarship selection process, Democratic Republic of the Congo
Skills
Programming: Python, C
Machine Learning & Scientific Computing: PyTorch, NumPy, SciPy, pandas, Matplotlib, scikit-learn
Research Tools: LaTeX, Jupyter Notebook
Development Tools: Git, GitHub, Linux, VS Code
Languages
French : Native proficiency
English : Professional working proficiency
Projects
-
QMClib - Monte Carlo and Quasi-Monte Carlo Library
- Designed a modular framework for sampling methods, statistical analysis, convergence evaluation, and performance benchmarking
- Validated through numerical experiments and comparative benchmarks against established quasi-Monte Carlo libraries
- Applied to a machine learning risk estimation problem for high-dimensional integration tasks