Teaching Experience

ML702: Advanced Machine Learning (MSc course) @ MBZUAI 2025 +

• Co-taught with Eric Moulines and Zhiqiang Shen
• Topics: Active Learning, Bayesian Optimization, Reinforcement learning
• Interactive Simulations of Markov Processes and Markov Decision Processes

ML805: Advanced Machine Learning (PhD course) @ MBZUAI 2025 +

• Co-taught with Michalis Vazirgiannis, Tongliang Liu, and Yuanzhi Li
• Topics: Diffusion models, GFlowNets

Mathematical Foundations of Machine Learning (Pre-doctoral course) @ UM6P 2025 +

• Co-taught with Hachem Madmoun
• Topics: Linear algebra, probability theory, probabilistic machine learning, neural networks

ML801: Foundations and Advanced Topics in Machine Learning (PhD course) @ MBZUAI 2025 +

• Co-taught with Martin Takac
• Topics: Reinforcement Learning

MTH703: Mathematics for Theoretical Computer Science (MSc course) @ MBZUAI 2024 +

• Co-taught with Tongliang Liu and Jin Tian
• Topics: Spectral graph theory, error correcting codes, linear programming...

Mathematical Foundations of Machine Learning (Pre-doctoral course) @ UM6P 2024 +

• Co-taught with Hachem Madmoun
• Topics: Linear algebra, probability theory, probabilistic machine learning, neural networks