My interest in bioinformatics started while working in my BSc thesis about biomedical image analysis, where I used machine learning to identify macular edema regions in OCT scans. Since then, I've been learning more about biology in my MSc degree and looking for ways to apply my computer science's knowledge in this field. I am currently working on the detection of genetic variants responsible for transmissibility on a project that studies the genetic mechanisms of transmissible cancer.
Education, Grants and Awards
2020-present: PhD in Molecular Medicine at University of Santiago de Compostela, Spain.
2018-2020: MSc. in Bioinformatics for Health Sciences at University of A Coruña, Spain.
2018-2019: Research Collaboration Grant in Computer Science Department at University of A Coruña, Spain.
2014-2018: BSc. in Computer Engineering at University of A Coruña, Spain:
Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models. Urista, D. V.; Carrué, D. B.; Otero, I.; Arrasate, S.; Quevedo-Tumailli, V. F.; Gestal, M.; ... & Munteanu, C. R. Biology 9, no. 8 (2020): 198. doi: https://doi.org/10.3390/biology9080198
Automatic Tool for the Detection, Characterization and Intuitive Visualization of Macular Edema Regions in OCT Images. Otero, I.; Vidal, P.L.; Moura, J. et al. Proceedings of The 2nd XoveTIC Conference (XoveTIC 2019) doi: https://doi.org/10.3390/proceedings2019021036
Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans. Otero, I.; Vidal, P.L.; Moura, J. et al. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium (pp. 24-26). url: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2019-21.pdf