Summary
Raquel Rodríguez is a postdoctoral researcher and computer vision specialist with 12 years of experience applying C++, CUDA, Matlab and image-processing libraries to problems from stereo disparity and DIBR to Fourier/wavelet denoising and medical imaging. Based in Gießen, she combines academic rigor from multiple European research institutions with hands-on development experience—having implemented 2D-to-3D conversion algorithms and worked on HDR imaging and non-linear camera color matching for both stills and video. Her work bridges theory and practice: projects span algorithm design, GPU acceleration and clinical applications such as pelvic MRI segmentation and breast cancer risk assessment. Comfortable in interdisciplinary teams, she brings a mathematician’s precision (Máster and Licenciatura in Mathematics) to practical imaging pipelines and optimization for real devices.
12 years of coding experience
1 year of employment as a software developer
Máster en Matemática Avanzada y Profesional, matemáticas, Máster en Matemática Avanzada y Profesional, matemáticas at Universitat de Barcelona
Erasmus Mundus Computer Vision and Robotics, Erasmus Mundus Computer Vision and Robotics at Université de Bourgogne
Heriot-Watt University Edinburgh Campus
Erasmus Mundus Computer Vision and Robotics, Erasmus Mundus Computer Vision and Robotics at Universitat de Girona