Juan José Cerrolaza, PhD has extensive work experience in various fields, including artificial intelligence, medical image analysis, pediatric medicine, statistical shape models, semantic analysis, production engineering, and scientific research. Juan José is currently the Head of AI Driven Solutions & Business Development at QUANT AI Lab. Prior to this, they worked at Accenture as an Associate Artificial Intelligence Manager. Juan José also served as a Marie-Curie Fellow at Imperial College London, where they conducted research on applying artificial intelligence to medical image analysis and developed deep learning-based diagnostic tools. Juan José worked as a Senior Staff Scientist at Children's National Health System, focusing on the development of innovative image analysis tools for pediatric medicine. Juan José also worked as a Pre-doctoral Researcher at Universidad Pública de Navarra, where they developed multi-resolution statistical shape models for automatic segmentation of anatomical structures. Additionally, they have experience as a Consultant Engineer at CysNET Software, a Production Engineer and Research and Development Engineer at Solaria Energía y Medio Ambiente, and a Scientific Researcher at Iriscom S.L. and Universidad Pública de Navarra. Earlier in their career, they worked as an Assistant Web Developer at Distans 80, where they developed content-based web solutions for international companies. Throughout their career, Juan José Cerrolaza has published several scientific works and has expertise in applying artificial intelligence techniques to various domains.
Juan José Cerrolaza, PhD has a strong educational background with a focus on artificial intelligence, computer science, and engineering. Juan José obtained a Bachelor's degree in Telecommunication Engineering from the Universidad Pública de Navarra from 2000 to 2006. Juan José continued their studies at the same university and completed a Master's degree in Research Engineering from 2008 to 2010. During this time, they specialized in the field of engineering.
In 2008, Juan José Cerrolaza began their doctoral studies at the Universidad Pública de Navarra and successfully earned a Doctorate in Telecommunications in 2012. Juan José'sdoctoral research focused on artificial vision and image processing.
To further enhance their expertise in artificial intelligence, Juan José Cerrolaza attended Stanford University in 2012 and completed a course on Artificial Intelligence in the field of Computer Science. This course provided him with additional knowledge and skills in the rapidly evolving field of artificial intelligence.
In addition to their formal education, Juan José Cerrolaza has engaged in research as a Marie Curie Fellow at Imperial College London. Though the specific start and end dates are not provided, they pursued research in the field of artificial intelligence, specifically in the areas of medical imaging and artificial intelligence.
To stay up-to-date with the latest advancements in the field, Juan José Cerrolaza has obtained several certifications. In 2020, they became an AWS Certified Machine Learning - Specialty professional and an AWS Certified Cloud Practitioner, both from Amazon Web Services (AWS).
Overall, Juan José Cerrolaza, PhD has a comprehensive education history with a strong focus on artificial intelligence, computer science, and engineering. Juan José'sresearch experience and certifications demonstrate their dedication to continuously expanding their knowledge and skills in their field of expertise.
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