Vladimir Groza is a highly qualified Research Scientist who has devoted his rich professional career to the field of computer science, specifically in machine/deep learning, predictive analytics, and data science. He has a PhD in Applied Mathematics and a background in computer science, numerical analysis, modelling, healthcare, medicine, and AI. Vladimir has extensive experience in medical imaging, segmentation, classification, computer vision, object detection/recognition, radiology, healthcare, and precision medicine. He is currently working as a Senior Deep Learning Scientist at Median Technologies, where his focus is on developing deep learning algorithms for medical imaging applications. Previously, he was a Deep Learning Scientist at Median Technologies and a Research Data Scientist in Deep Learning and CV at Philips. Vladimir was also a Postdoctoral Research Scientist at Inria and an Engineer-developer at Eltex.