A little about me

As a PhD student, the research focuses on representation learning and deep learning architectures for pushing the health care studies on low power platforms and improve the learning results. As an MSc, he has specialised in numerical algorithms, heterogeneous parallel programming, in the use of heterogeneous computer architectures, in the power management and performance analysis techniques for experimental design measurements, simulation and modelling. Likewise, he develops solutions using techniques of mathematical optimisation applied to data mining and machine learning integrating computational techniques and scalable storage. He has the experience to plan and manages the development of information technology at the business sector, regarding optimisation and automation of processes and communications, information management, ensuring data integrity and technology infrastructure.