I am actively involved in both teaching and supervision of graduate and undergraduate students. I am teaching since 2012 at Aix-Marseille University (AMU) courses on algorithms, machine learning and data science. I strongly contributed to the development and implementation of the master’s programme “Artifical Intelligence and Machine Learning” that was launched by the department of Computer Science at AMU in 2018. I have co-supervised 4 Ph.D. students and I am currently supervising 3 doctoral students on research topics related to quantum machine learning and deep learning.
Ph.D. Student Advising
- Joachim Tomasi (2023 -)
- Topic: Quantum machine learning
- Xiaoyu Sun (2022 -)
- Topic: Noisy quantum computation
- Kais Hariz (2020 -)
- Topic: Implicit regularization in deep learning
- Balthazar Casalé (2019-2023)
- Dissertation: Machine learning for quantum bandits and quantum entanglement detection
- Luc Giffon (2017-2020)
- Dissertation: Sparse approximations and kernel methods for learning compressed models
- Current position: Post-doctoral researcher (INRIA)
- Riikka Huusari (2016-2019)
- Dissertation: Kernel learning for structured data: A study on learning operator- and scalar-valued kernels for multi-view and multi-task learning problems
- Current position: Post-doctoral researcher (Aalto University, Finland)
- Guillaume Rabusseau (2013-2016)
- Dissertation: A tensor perspective on weighted automata, low-rank regression and algebraic mixtures
- Current position: Assistant Professor at Mila and DIRO from Université de Montréal
Courses Taught
- Doctoral courses
- Quantum Machine Learning : Basics and Principles
- Artificial Intelligence: from Machine Learning to Data Science
- Undergraduate courses
- Introduction to Data Science
- Advanced Data Science
- Machine Learning Basics
- Foundations of Machine Learning
- Mathematics for Artificial Intelligence
- Graduate courses
- Algorithms and Data Structures
- Advanced Data Structures
- Introduction to Programming with Python
- C Programming
- Project in Computer Science
- Digital Signal Processing