Andrea Tagliasacchi

Andrea Tagliasacchi is an Associate Professor in the School of Computing Science at Simon Fraser University (SFU), where he holds the Visual Computing Research Chair. He is also a part-time (20%) Staff Research Scientist at Google DeepMind in Toronto and holds an associate professor (status only) appointment in the Department of Computer Science at the University of Toronto.

Education:

• PhD in Computing Science – Simon Fraser University (NSERC Alexander Graham Bell Fellow)
• Postdoctoral Research – École Polytechnique Fédérale de Lausanne (EPFL)
• MSc in Computer Science – Politecnico di Milano (Gold Medalist)

His research lies at the intersection of computer vision, computer graphics, and machine learning, with a focus on 3D visual perception. Key areas include neural radiance fields (NeRF), 3D Gaussian splatting, inverse rendering, and geometric deep learning, with applications in robotics, augmented reality, and autonomous systems. His work emphasizes robust and efficient scene understanding and reconstruction from visual data.

His recent publications, appearing in top venues like CVPR, SIGGRAPH, NeurIPS, and ECCV, demonstrate a strong emphasis on neural fields, 3D reconstruction, and generative modeling. Trends include improving rendering efficiency, enhancing robustness to noise and distractors, and enabling controllable and 3D-aware generation. His group has made significant contributions to Gaussian splatting, NeRF optimization, and diffusion-based 3D/4D synthesis.

Scientific Awards:

• 2024 CVPR Best Paper Award (Honorable Mention)
• 2020 CVPR Best Student Paper Award
• 2015 SGP Best Paper Award
• NSERC Alexander Graham Bell Canada Graduate Scholarship
• MITACS Best Paper Award (SIGGRAPH Asia 2009)
• NSF Best Poster Award (SGP 2012)

He has advised numerous PhD and MSc students, many of whom are now researchers at leading institutions and companies. His research has been supported through collaborations with Google, Intel, and academic partners. He serves the community as a Senior Area Chair for CVPR 2025, Associate Editor for IEEE TPAMI (2024–2026), Guest Editor for IEEE TPAMI on 3D GenAI, and Program Chair for 3DV 2024. He leads a vibrant research lab at SFU focused on pushing the boundaries of 3D scene understanding with machine learning.