Andrea Tagliasacchi
Associate Professor
Burnaby, British Columbia, Canada
Summary
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RockstarAndrea Tagliasacchi is an Associate Professor and seasoned researcher with 14 years of experience at the intersection of computer graphics, machine learning, and 3D vision, holding positions at Simon Fraser University and the University of Toronto. He has industry research experience as a Staff Research Scientist at Google DeepMind, translating cutting-edge academic ideas into practical systems. Andrea contributes to high-profile open-source projects such as TensorFlow Graphics, where he added ModelNet40 dataset support and example workflows that streamline training on 3D point clouds. His work emphasizes differentiable graphics and scalable dataset integration, bridging theoretical research with usable tooling for the ML community. Based in Burnaby, BC, he combines academic leadership with hands-on engineering, often producing reproducible code that accelerates adoption of novel 3D methods. Colleagues describe him as both a rigorous scientist and a pragmatic engineer who makes complex 3D research accessible.
14 years of coding experience
7 years of employment as a software developer
Github Skills (5)
machine-learning10
tensorflow10
tensorflow-datasets10
python10
computer-vision9
Programming languages (23)
Github contributions (5)
tensorflow/graphics
Apr 2020 - Apr 2022
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:33 commits, 19 PRs, 10 pushes in 1 year 11 months
Contributions summary:Andrea primarily contributed to the `tensorflow/graphics` repository by adding a dataset loader for the ModelNet40 dataset, demonstrating a focus on integrating and utilizing 3D point cloud datasets within the context of differentiable graphics layers. The changes include adding a new dataset loader using `tensorflow_datasets`, which involves defining dataset features, splits, and a generation function. Furthermore, the commits show the creation of example files to facilitate testing, along with enhancements to training procedures through augmentations.
differentiablecomputer-graphicslayerstensorflowgraphics
taiya/taiya.github.io
Oct 2022 - Dec 2022
Contributions:30 commits, 249 pushes, 12 branches in 2 months
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