Lea Müller
Research Scientist at Meta
Tübingen, Baden-Württemberg, United States
Summary
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Senior🎓
Top SchoolLea Müller is a research scientist with eight years of experience advancing AI-driven 3D reconstruction and human behavior modeling, currently at Meta after a postdoc at UC Berkeley. Her PhD from the Max Planck Institute focused on estimating human poses in contexts of physical contact and social interaction, with multiple first-authored papers nominated for CVPR best paper awards. She bridges rigorous mathematical training in mathematics and computational data science with hands-on research in perception, bringing human-centric objectives to computer vision. Lea’s work spans both foundational modeling and real-world scene understanding, collaborating with leading groups such as Michael Black’s Perceiving Systems and Angjoo Kanazawa’s lab. She combines a strong publication record with cross-institutional visiting researcher experience, often tackling the nuanced interactions between people and their environments. An understated strength is her ability to translate complex physical-interaction scenarios into tractable learning problems that improve machine understanding of social and contact-rich behavior.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence / Computer Vision, Doctor of Philosophy - PhD Artificial Intelligence / Computer Vision at University of TübingenMaster of Science (M.Sc.) Computational and Data Science, Master of Science (M.Sc.) Computational and Data Science at Friedrich Schiller University JenaBachelor of Science (B.Sc.) Mathematics, Bachelor of Science (B.Sc.) Mathematics at Heidelberg UniversityAbitur, Abitur at Elly-Heuss-Knapp-Gymnasium
German, English
Github Skills (10)
siggraph7
sdf5
pose5
computer-vision4
manipulation4
computer-graphics4
feature-extraction4
deep-learning3
pytorch3
visualize2
Programming languages (3)
Github contributions (5)
muelea/shapy
Jun 2022 - Aug 2022
Contributions:18 commits, 16 pushes, 1 branch in 1 month
muelea/buddi
Jun 2023 - Jul 2024
Our model BUDDI learns the joint distribution of interacting people
Contributions:1 review, 2 PRs, 33 pushes in 1 year 1 month
3d-human-mesh3d-human-reconstruction3d-human-shape-and-pose-estimationdiffusion-modelhuman-interactions
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