Guillem Brasó is a research scientist based in San Francisco with eight years of experience at the intersection of machine learning and applied research, currently at NVIDIA after a PhD and multi-year research tenure at Technical University of Munich. His background blends rigorous mathematics (BSc/MS) with hands-on ML research internships at Meta and NVIDIA, producing work that moves from foundational research to prototyping in industry. He has a track record in forecasting, churn prediction, and optimization from early data-science roles, and has repeatedly transitioned academic ideas into industrial settings during internships and collaborations. Known for combining theoretical depth with practical engineering, he brings the precision of a mathematician and the execution focus of an industry researcher. An understated detail: his training also includes conservatory-level study, reflecting a disciplined, creative approach to problem solving.
8 years of coding experience
6 years of employment as a software developer
Professional Degree, Professional Degree at Conservatori del Liceu
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at Technical University Munich
Doctor of Philosphy - PhD, Computer Science, Doctor of Philosphy - PhD, Computer Science at Technical University of Munich
Bachelor of Science, Mathematics, Bachelor of Science, Mathematics at Universitat de Barcelona
Official PyTorch implementation of "The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation" (ICCV 21).
Contributions:14 commits, 1 PR, 20 pushes in 4 months
pytorchcentericcvperson-pose-estimationperson
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