Carlos is an engineer and entrepreneur driven by translational research in healthcare. Carlos holds a degree in Electrical Engineering from KTH (Stockholm, Sweden) and a PhD in Biomedical Engineering from UPM (Madrid, Spain).

After his PhD, Carlos was selected for the prestigious M+Vision fellowship at MIT, where he led international multidisciplinary projects to turn medical imaging technologies into clinically applicable products at the crossroads of engineering, business and medicine. His work includes award-winning AI algorithms for diagnosing cardiac CT images and an ultrasound product for early diagnosis of meningitis. Most recently, he co-founded and is CEO of Leuko, an MIT spin-off focused on commercialising PointCheckTM, the first medical device capable of non-invasively monitoring white blood cells, with the goal of improving the outcomes of cancer chemotherapy.

Carlos was named an Innovator Under 35 by MIT Technology Review and has won multiple awards including MassChallenge HealthTech, Startup WorldCup and a prestigious SBIR award from the National Institutes of Health.

Featured programmes and seminars

  • High Capacity Campus

    Start date: 07/07/2024

    The main objective of this initiative is to develop the potential of young people between the ages of 10 and 18 who have been accredited as "high ability".

  • Workshop From Science to Society

    Start date: 22/09/2024

    The Rafael del Pino Foundation together with the Club de Científicos (Rafael del Pino Excellence Fellows) organise the FS2S: Translating today's research into tomorrow's solutions.

  • A History of the World programme. Jeremy Adelman

    Start date: 20/09/2024

    This course, aimed at young people aged between 17 and 25, invites them to learn about and delve into world history in order to understand how we are connected in the globalised world in which we live.

  • Artificial Intelligence Ethics Programme. Carissa Véliz

    Start date: 28/10/2024

    This course will help us understand the "digital reality" we live in. A practical and constructive approach, offering possible solutions to the ethical challenges generated by AI.