Daniel Moura

Daniel Moura is an accomplished AI researcher and data scientist with extensive experience in developing and implementing advanced technologies across various sectors. Currently serving as Principal AI Researcher at Nexar Inc., Daniel focuses on scaling road inventory detections, enhancing computer vision models on user devices, and integrating generative AI techniques for training detection systems. Prior roles include Principal Data Scientist and Head of Data at Veniam, where Daniel led initiatives in vehicular network simulation and data pipeline design, significantly influencing product development and securing major contracts. Additional experience encompasses research positions at FEUP, UCL, INEGI Porto, and INEB, where Daniel contributed to projects spanning pedestrian counting systems, breast lesion classification, and 3D spinal reconstruction, alongside teaching roles at various educational institutions. Daniel Moura holds a Ph.D. in Computer Science and multiple degrees in Artificial Intelligence and Informatics Engineering from the Faculdade de Engenharia da Universidade do Porto.