Teaching & Mentorship

Undergraduate course covering the foundations of reinforcement learning, Markov decision processes, value and policy iteration, Q-learning, deep Q-networks (DQN), and policy gradient methods.

Graduate-level masters and doctoral course supervised by Prof. Luiz Velho. Delivered half of the lectures covering neural representations, implicit surfaces, coordinate networks, and generative modeling for 3D graphics.

Graduate-level masters and doctoral course supervised by Prof. Luiz Velho. Designed and delivered the hands-on practical laboratory sessions focusing on machine learning applied to 3D shape modeling, neural radiance fields, and rendering pipelines.

Graduate-level masters and doctoral course supervised by Prof. Luiz Velho. Led the practical laboratory lectures covering computer vision pipelines, image processing paradigms, and modern deep generative architectures.

Graduate-level masters and doctoral course supervised by Prof. Luiz Velho. Taught practical laboratory sessions exploring deep learning integration into real-time and offline 3D graphics workflows.