Albert Pumarola
Senior Staff Research Scientist & Senior Manager at Meta
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolAlbert Pumarola is a Senior Staff Research Scientist and manager at Meta Superintelligence Labs in Zurich, bringing 11 years of experience in computer vision, deep learning and large-scale generative models for images and video. He has progressed from academic PhD research—bridging geometry and deep learning—to leading model efficiency and scaling efforts across Meta’s GenAI and Reality Labs teams. His work blends rigorous research (including an ECCV oral project on facial animation) with engineering pragmatism, exemplified by hands-on contributions to reproducible model code and checkpointing in open-source repos. Comfortable at the intersection of research and production, he drives optimizations that make large generative systems practical for real-world use. An early robotics and vision background informs his focus on geometry-aware model design and efficient deployment strategies.
11 years of coding experience
2 years of employment as a software developer
UPC Universitat Politècnica de Catalunya
Spanish, Catalan, English
Stackoverflow
656reputation
55kreached
13answers
0questions
Github Skills (16)
pytorch10
deep-learning10
preprocess9
preprocessing9
load-data9
dataprep9
data-preprocessing9
data-loading9
python8
dlib6
face-detection6
yaml-cpp6
point-cloud-library6
feature-extraction6
yaml6
Programming languages (4)
Github contributions (5)
albertpumarola/GANimation
Jul 2018 - Aug 2019
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
Role in this project:
ML Engineer
ML EngineerContributions:16 commits, 11 pushes, 1 branch in 1 year 1 month
Contributions summary:Albert's contributions primarily focused on modifications related to model loading, dataset paths, and checkpoint management within the GANimation project. They addressed a pathing bug for the dataloader and resolved an issue with the epoch label during checkpoint restoration. The user also added a test sample and clarified code related to not providing a pre-trained model, highlighting their involvement in model management and potential dataset adjustments.
pytorchanimationfacial-expressionsdeep-learningface-manipulation
albertpumarola/albertpumarola.github.io
Oct 2016 - Dec 2024
Contributions:19 pushes, 1 branch in 8 years 3 months
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