Kibrom G
Research Engineer at Institut Curie
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolKibrom G is a research engineer based in Paris with a decade of experience specializing in AI-driven multimodal medical image analysis, including CT, MRI and PET. He holds a PhD and an Erasmus Mundus master's background in computer vision and robotics, and has a strong publication record (h-index 12) demonstrating impact in segmentation, registration, generation, and image-based biomarker extraction. At Institut Curie he develops generative AI models and robust deep learning pipelines that bridge molecular imaging and clinical data for precision medicine and lymphatic disease stratification. Comfortable in Python, C++, PyTorch and TensorFlow, he combines academic rigor with hands-on software engineering (Docker, Git) to deliver reproducible, deployable solutions. He is experienced in leading academia–industry multidisciplinary projects, and notably brings both preclinical and clinical imaging platform experience that accelerates translation from research prototypes to clinical workflows.
10 years of coding experience
6 years of employment as a software developer
Erasmus Mundus Joint Masters Degree , Vision in roBOTics (VIBOT), Computer Vision and Robotics, Erasmus Mundus Joint Masters Degree , Vision in roBOTics (VIBOT), Computer Vision and Robotics at Université de BourgogneBachelor of Science Degree in Electrical and Computer Engineering, Electrical, Electronics and Communications Engineering, Bachelor of Science Degree in Electrical and Computer Engineering, Electrical, Electronics and Communications Engineering at Mekelle Institute of TechnologyHeriot-Watt University Edinburgh CampusErasmus Mundus Joint Masters Degree , Vision in roBOTics (VIBOT), Erasmus Mundus Joint Masters Degree , Vision in roBOTics (VIBOT) at Universitat de Girona
English, French, Amharic, tigirigna
Github Skills (6)
survival-analysis10
image-segmentation10
medical-imaging9
deep-learning8
data-analysis8
ai8
Programming languages (1)
Github contributions (5)
KibromBerihu/ai4elife
Jul 2021 - Jan 2023
This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.
Contributions:1 release, 128 commits, 2 PRs in 1 year 6 months
aiautomated-pet-segmentationbiomarkersdata-analysisdata-centric-ai
KibromBerihu/LFBNet
Dec 2019 - Jun 2022
Contributions:29 commits, 28 pushes, 1 branch in 2 years 6 months
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