Catherine Chaput
Senior Research Scientist at NEC Laboratories Europe GmbH
Berlin, Germany
Summary
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Senior🎓
Top SchoolCatherine Chaput is a senior research scientist and data-driven biologist based in Berlin with over 15 years of experience at the intersection of infectious disease research and machine learning. She has led multidisciplinary projects from wet-lab setup and labeled data collection to statistical and gene-expression analyses, bridging hands-on lab work (Charité, Pasteur, Max Planck) with applied ML roles (Mushlabs, Piavita, NEC Labs Europe). Catherine focuses on unlocking multi-parametric disease signals that are often lost in traditional reductionist analyses, advocating for data science to reveal complex biological patterns. She has practical experience deploying deep learning for behavioral tracking and has contributed ML support to pandemic response efforts, demonstrating both research rigor and rapid problem-solving in high-stakes settings. Rare among peers, she combines formal training in microbiology (PhD) with recent deep learning and data science certificates, enabling fluent translation between experimental design and computational modeling.
8 years of coding experience
10 years of employment as a software developer
Specialization, Deep Learning Specialization, Specialization, Deep Learning Specialization at CourseraResearch Doctorate, Microbiology, General, Research Doctorate, Microbiology, General at Universite Paris 7Master, Fundamental Microbiology, Master, Fundamental Microbiology at Universite Paris 7 - JussieuEngineer's degree, Biotechnology, R&D, Engineer's degree, Biotechnology, R&D at École de Biologie IndustrielleData Science, Data Science at HarvardXCertificates, Data Science / Deep learning, Certificates, Data Science / Deep learning at deeplearning.ai / Coursera
English, French, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (2)
webcam6
computer-vision4
Programming languages (2)
Github contributions (5)
pupal-deep-learning/PuPal-Beta
May 2019 - Jul 2019
Prototype of application that extracts pupil size from webcam directly or from pre-recorded video.
Contributions:20 commits, 19 pushes in 1 month
webcamcomputer-visionprototypevideoextracts
CC810/PuPal-Beta
Apr 2019 - Jul 2019
Prototype of application that extracts pupil size from webcam directly or from pre-recorded video.
Contributions:6 commits, 6 pushes in 3 months
webcamcomputer-visionprototypevideoextracts
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