Minh-triet Vo is a Senior Data Scientist specializing in computer vision with seven years of experience building and researching deep learning solutions for medical imaging, satellite super-resolution, and autonomous-vehicle perception. Based in Lyon, he designs ultrasound-focused neural architectures, curates anatomically specific datasets, and works on edge-device model integration to bring clinical AI into real-world use. His background combines strong academic training (MEng in Mathematical, Computational & Healthcare Engineering and Image & Signal Processing) with practical internships that produced measurable gains—such as a 2.6% mAP boost from fusion-based detection for automotive cameras. He also developed a super-resolution model for MODIS Land Surface Temperature that outperformed established baselines and whose preprint and code are publicly available. Known for bridging research and production, he brings rigorous evaluation methods from medical/surgical pose estimation to applied vision problems.
7 years of coding experience
Master of Engineering - MEng, Mathematical, Computational & Healthcare Engineering, Master of Engineering - MEng, Mathematical, Computational & Healthcare Engineering at IMT Atlantique
Bachelor's degree, Telecommunications Engineering, GPA: 9.01/10 | Ranking: 1/19, Bachelor's degree, Telecommunications Engineering, GPA: 9.01/10 | Ranking: 1/19 at Ho Chi Minh University of Technology
Master of Engineering - MEng, Image and Signal processing, Master of Engineering - MEng, Image and Signal processing at Université de Rennes 1
This is the repository for the course Computational Imaging project with the subject: Combination of Convolutional Neural Network and Markov Random Field for image synthesis.
Contributions:20 commits, 1 PR, 16 pushes in 18 days
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Minh-triet Vo - Senior Data Scientist (Computer Vision)