Miguel Vazquez
About Miguel Vazquez
Miguel Vazquez serves as the Head of Unit at the Barcelona Supercomputing Center, where he has worked since 2017. He has a strong academic background in computer science and bioinformatics, with significant contributions to genomics analysis and over 30 published research papers.
Work at Barcelona Supercomputing Center
Miguel Vazquez has served as the Head of Unit at the Barcelona Supercomputing Center (BSC) since 2017. In this role, he is involved in managing various projects and initiatives within the organization. He is also a leader in the Life Sciences Department and heads the Genome Informatics Group, focusing on advancing computational methods in genomics. Vazquez actively hosts research seminars at BSC, contributing to the academic community and fostering collaboration among researchers.
Education and Expertise
Miguel Vazquez holds a Doctor of Philosophy (PhD) in Computer Science and Bioinformatics from Universidad Complutense de Madrid, where he studied from 2005 to 2010. He also earned a degree in Computer Science from the same university from 1997 to 2002. Additionally, he completed a course in Business Administration and Management at IE Business School, focusing on Management Fundamentals for Scientists and Researchers from 2015 to 2016. His educational background provides a strong foundation for his expertise in data analysis and bioinformatics.
Background
Before joining the Barcelona Supercomputing Center, Miguel Vazquez worked as a Postdoctoral Researcher at the Norwegian University of Science and Technology (NTNU) from 2016 to 2019. He also held a postdoctoral position at the Spanish National Cancer Research Centre (CNIO) from 2010 to 2016. Earlier in his career, he served as a Teaching Assistant at Universidad Complutense de Madrid from 2005 to 2010. His diverse background in academia and research has shaped his professional trajectory.
Achievements
Miguel Vazquez has authored over 30 research papers published in top journals, with a cumulative impact factor of approximately 220 and around 1500 citations. He has developed the Rbbt framework, a tool for data analysis utilized in genomics and translational bioinformatics. Additionally, he has led more than 40 open-source projects hosted on GitHub, showcasing his commitment to advancing scientific research through collaborative efforts and innovative solutions.