Luisa S.
About Luisa S.
Luisa S. is a Graduate Student Researcher at the Barcelona Supercomputing Center, specializing in transcriptomics and functional genomics since 2019. She holds a Master's degree in Bioinformatics from Universitat Pompeu Fabra and has experience in various research roles, including work on Ebola and single-cell RNA sequencing.
Work at Barcelona Supercomputing Center
Luisa S. has been a Graduate Student Researcher at the Barcelona Supercomputing Center since 2019. In this role, she focuses on de novo annotation and differential expression analysis. Her research is conducted within the Transcriptomics and Functional Genomics lab, which is led by Marta Mele. Luisa's work contributes to advancements in understanding transcriptomic data, particularly in the context of various biological questions.
Education and Expertise
Luisa S. holds a Master's degree in Bioinformatics from Universitat Pompeu Fabra, which she completed between 2018 and 2020. Prior to that, she earned a Bachelor's degree in Bioinformatics from Technische Universität München from 2014 to 2017. Additionally, she studied Computer Science at City University of Hong Kong as a host student in 2016. Her educational background provides a strong foundation for her research in single-cell RNA sequencing and long non-coding RNAs.
Background
Luisa S. has a diverse research background, having worked at various institutions. She served as an Undergraduate Student Researcher at the Centre for Genomic Regulation (CRG) for two months in 2017. Additionally, she worked for three months as an Undergraduate Student Researcher at HelmholtzZentrum München in Germany. Luisa also gained experience as a Bioinformatics Engineer at Lifebit from 2017 to 2018 in London, where she further developed her skills in bioinformatics.
Research Focus
Luisa S. is involved in research related to Ebola within the context of transcriptomics. Her work includes specialized techniques such as single-cell RNA sequencing and the study of long non-coding RNAs. This research is critical for understanding gene expression and regulatory mechanisms in various biological systems.