Marina Martinez-Hernandez holds a B.Sc. in Biomedical Engineering (Universidad Carlos III Madrid) and a M.Sc. in Bioinformatics and Big Data (KTH Royal Institute of Technology, Karolinska Institutet, and Stockholm University). During her undergraduate and postgraduate studies, Marina has performed research in internationally recognized institutions such as the Wyss Institute for Biologically Inspired Engineering (Harvard Medical School), SciLifeLab (Karolinska Institutet), Centro Nacional de Investigaciones Oncológicas (CNIO), or the Krasnow Institute of Advanced Study (George Mason University), among others.

Currently, she is a third-year PhD "La Caixa" Fellow at the Institute for Bioengineering of Catalonia. Her research focuses on developing therapies to promote in situ cardiac regeneration to alleviate the aftermaths of myocardial infarction. She is also a visiting scholar at Imperial College London and Vall d'Hebron Research Institute (VHIR). Marina is a member of the Rafael del Pino Alumni Board as well as the co-President of its Club of Scientists.

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.