Teaching

Courses, mentorship, and educational materials in machine learning and reinforcement learning.

Planned

Introduction to Machine Learning

Course Overview A comprehensive introduction to machine learning for undergraduate students covering supervised learning, unsupervised learning, and practical ML skills. The course emphasizes both theoretical understanding and hands-on implementation of...

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Planned

Introduction to Reinforcement Learning

Course Overview An introductory course designed for advanced undergraduates and beginning graduate students covering the fundamentals of reinforcement learning. Students will learn core concepts, implement basic algorithms, and understand when...

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Planned

Advanced Topics in Reinforcement Learning

Course Overview Graduate-level course covering modern RL techniques including offline RL, safe RL, and applications to real-world problems. Emphasis on bridging theory and practice with hands-on projects. Course Description This...

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Ongoing

PhD Student Mentorship

Overview Actively mentoring PhD students at MBZUAI on projects spanning RL for LLMs, safe decision-making, and practical applications of machine learning. Focus on developing both technical skills and research independence....

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Planned

Advanced Topics in Reinforcement Learning

Graduate-level course covering modern RL techniques including offline RL, safe RL, and applications to real-world problems. Emphasis on bridging theory and practice with hands-on projects.

Graduate Course Reinforcement Learning

Ongoing

PhD Student Mentorship

Actively mentoring PhD students at MBZUAI on projects spanning RL for LLMs, safe decision-making, and practical applications of machine learning. Focus on developing both technical skills and research independence.

Mentorship PhD Advising

2020-2024

Guest Lectures and Tutorials

Delivered guest lectures on offline RL, safe decision-making in healthcare, and transfer learning at various institutions. Developed tutorials for major ML conferences on practical RL deployment.

Guest Lectures Tutorials

2018-2023

Machine Learning for Healthcare

Teaching assistant and guest lecturer for courses on machine learning applications in healthcare. Covered topics including clinical decision support, handling irregular medical data, and ethical considerations in healthcare AI.

Healthcare ML Ethics

Planned

Open Educational Resources

Developing accessible educational materials on reinforcement learning fundamentals, with focus on intuition-building and practical implementation. Materials designed for self-study and classroom use.

Educational Resources Self-Study

2019-2023

Undergraduate Research Mentorship

Mentored undergraduate students on research projects in ML and RL. Guided students through the full research process from problem formulation to publication, with several leading to conference papers.

Research Mentorship Undergraduate