Expert Research Scientist at United Imaging Intelligence
New York City Metropolitan Area United States
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Summary
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Senior
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Top School
Benjamin Planche is a Senior Expert Research Scientist with 14 years of experience building computer vision and machine learning systems for industrial and medical applications, currently based in the New York City area. He specializes in tackling data-scarce problems—training robust vision models from limited images, CAD data, and constrained datasets—and translating research into product-ready AI for imaging, diagnosis, and robotics. His career spans Siemens and United Imaging Intelligence, where he progressed from doctoral researcher to senior expert, leading prototypes, feasibility studies, and cross-disciplinary teams. Benjamin combines deep academic training (PhD in Computer Science) with hands-on engineering, including TensorFlow 2 model implementations showcased in practical repositories and educational notebooks. He has a track record of contributing to large-scale industrial and government projects and turning patentable research into deployed solutions. Colleagues describe him as a pragmatic innovator who pairs rigorous research methods with a bias for fast prototyping and real-world impact.
14 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Luleå University of Technology
Master's degree Computer Science, Master's degree Computer Science at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Universität Passau
French, English, German, Japanese, Chinese, Swedish
Hands-On Computer Vision with TensorFlow 2, published by Packt
Role in this project:
ML Engineer
Contributions:22 commits, 6 PRs, 43 pushes in 1 year 6 months
Contributions summary:Benjamin's contributions focused on implementing and refining computer vision models within the TensorFlow 2 framework. Their work included adding code and descriptive notebooks for computer vision concepts, with an emphasis on building neural networks from scratch and applying them to classification tasks like MNIST. Furthermore, they adapted the code to the target TF2 framework, indicating hands-on experience with the specified library.
Contributions:43 commits, 7 pushes in 5 years 5 months
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Benjamin Planche - Expert Research Scientist at United Imaging Intelligence