I am a Machine Learning Researcher specializing in 3D Computer Vision and Generative AI, currently working at Huawei's 3D Vision Team. My work focuses on real-time face reenactment using advanced techniques such as Diffusion Models and 3D Gaussian Splatting.

Previously, I contributed to Ubisoft La Forge as an R&D Intern, where I developed a geometry-aware texture synthesis tool that streamlined artist workflows and significantly reduced face model creation time. My research during this period led to publications at top-tier conferences like CVPR.

I hold a Master's degree in Electrical and Computer Engineering from York University, where I was advised by Prof. Nikolaus Troje and co-advised by Prof. Marcus A. Brubaker. My thesis focused on AI-assisted pipelines for 3D face avatar generation.

As a Vector Faculty Affiliate Researcher, I am committed to advancing the intersection of computer graphics, computer vision, and deep learning. My expertise spans deep learning, generative AI, and computer vision, with a strong focus on diffusion models and neural radiance fields (NeRFs).

I am passionate about pushing the boundaries of 3D content generation, view synthesis, and image manipulation, aiming to develop innovative solutions that bridge the gap between research and real-world applications.