معرفی
Sacha Corbugy is a researcher at the Faculty of Computer Science, Namur Digital Institute, University of Namur, specializing in dimensionality reduction techniques with particular expertise in nonlinear embedding methods and interactive data visualization tools.
Research interests include:
- Dimensionality Reduction
- Nonlinear Embedding
- Data Science
- Machine Learning
- Interactive Tools
- Data Visualization
Current research focuses on developing explanation frameworks for nonlinear dimensionality reduction algorithms, particularly t-SNE. Their work bridges theoretical machine learning with practical usability, creating methods to make complex embedding techniques interpretable through gradient-based explanations and interactive interfaces. Recent publications demonstrate significant contributions to making dimensionality reduction more transparent and user-adaptable.
Key project:
- PHE4DR: Post-hoc explanations for integrating user feedback in dimensionality reduction (2024-2025) - Project Manager
Academic background includes a Master's degree in computer science with data science specialization completed in 2021. Professional activities include organizing the 2023 industry-science cybersecurity debate and participating in the 2022 KIKK Festival, demonstrating engagement with both academic and broader technology communities.
