I am a PhD candidate at the University of Melbourne, interested in computer graphics and deep learning. My research centers on novel-view synthesis and immersive experiences — including 3D Gaussian Splatting (3DGS), Neural Radiance Fields (NeRF), and mixed / augmented reality. Outside research I enjoy music, exercise, and learning anything new. Please feel free to reach out if you share similar interests!

Research interests

• Computer graphics and novel-view synthesis (3D Gaussian Splatting, NeRF)
• Sampling and perceptual quality in radiance-field rendering
• Mixed reality, augmented reality, and immersive XR experiences
• Visual effects (VFX)
• Deep learning for graphics

Selected publications

• Perceptual Thresholds of Sample Counts in AI-Augmented 3D Gaussian Splatting, IEEE VR 2026.
• Free-View XR Tours Using 3D Gaussian Splatting with an Avatar Guide, IEEE VR 2026.
• Flashover: Spatial Storytelling of Wildfire from Memory to Spatial Experience, SIGGRAPH 2026.
• How Many Are Enough? Effective Sample Counts in NeRF and 3DGS, IEEE ISMAR Adjunct 2025.
• The Impact of Occlusion and Collision on Real–Virtual Interaction in Mixed Reality 360° Images, IEEE ISMAR Adjunct 2025.
• Superpixel-Guided Sampling for Compact 3D Gaussian Splatting, ACM VRST 2024.

See the full list on the publications page or my Google Scholar profile.