I have a PhD in nanotechnology specifically in theoretical simulations of graphene-based systems. The experience that I have gained during the years I have spent as a PhD student can be summed up with my most important achievements including 8 scientific papers published in world-renowned peer-reviewed journals, 8 contributed talks and 3 poster presentations in international conferences, more than 3 months spent abroad collaborating with other prestigious research groups and the acquisition of a very solid programming basis and data analysis skills.
After these challenging and rewarding years of hard work in material science I would like to get into a more applied field still related with new technologies and research and, with this purpose, I am seeking a career change towards bioinformatics and biostatistics. I am specially interested in their application in genomics and clinical research and how the latests machine learning techniques can help in the analysis of these huge biomedical data sets.