Sarah Carneiro
AI Post-Doc Researcher LIX at École Polytechnique
France
Summary
👤
Senior🎓
Top SchoolSarah Carneiro is an AI postdoctoral researcher at École Polytechnique with eight years of experience developing deep learning, sequential, and graph-based predictive models, now focusing on bio foundational models. Her work bridges applied research and teaching, from creating traffic-speed profiles using only topology to instructing master's students in machine learning and optimization. She completed a Ph.D. in Signal, Image and Automation (Computer Science) and has a strong background in video and image processing, including anomaly detection and inpainting. Based in France, she has moved fluidly between industry labs and academia, bringing practical deployments and publication-grade research together. Notably, she has built multimodal systems for safety-critical applications (fight/fall detection) and designed kinesthetic learning software integrating sensors during early research, reflecting a blend of human-centered design and rigorous modeling.
8 years of coding experience
2 years of employment as a software developer
International Student Exchange - B.Sc., Computer Science, International Student Exchange - B.Sc., Computer Science at Stony Brook UniversityPh.D., Signal, Image, Automatique - Computer Science, Ph.D., Signal, Image, Automatique - Computer Science at Université Gustave EiffelM.Sc., Computer Science, M.Sc., Computer Science at Universidade Estadual de CampinasThe Pontifical Catholic University of Minas Gerais
English, Portuguese, French, SpanishProgramming languages (1)
Github contributions (5)
sarahAlcar/sarahAlcar.github.io
Apr 2024 - Feb 2025
Contributions:19 pushes, 1 branch in 10 months
sarahAlcar/Machine-Learning
May 2018 - Jun 2018
Contributions:49 pushes, 1 branch in 1 month
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