/ the team / postdocs
Ivan graduated at the University of Girona in 2020, focusing on inference of family relationships in population genetics databases, genome-wide association studies, and the statistical analysis of compositional data. He joined the GenomeDataLab in November 2020 and his current research interests are to develop statistical methods to model local mutation rates in cancer genomes. In his free time, he enjoys road cycling with friends, swimming and running.
Miguel obtained his PhD in Population Genetics at the University of Barcelona. Currently, he studies mutational patterns that result from DNA repair deficiencies in cancer cells, to elucidate mechanisms of genomic instability. Also, he performs the computational analysis of CRISPR genetic screens carried out at GenomeDataLab, and is interested in developing methods to quantify changes of gene essentiality in time and across genetic backgrounds.
“If we knew what it was we were doing, it would not be called research, would it?” ― Albert Einstein
Tiffany graduated in computational cancer genomics in 2019 from IARC (WHO) and University of Lyon, France, before joining the IRB in 2020. Her research interests focus on trying to make (cancer) genomes confess using a variety of computational and statistical tools. As a Juan de la Cierva fellow, she is mining genomics data to explore how exogenous and endogenous factors can impact mutational processes in the soma. Outside of playing with genomes, she likes to play with her dog, her kitchen tools and her sports equipment.
Ahmed obtained his PhD in Computer Science at Nanyang Technological University (NTU), Singapore in 2020, where he developed computational methods for copy number and Hi-C contact-map analysis. After graduation, as a research fellow at NTU, he studied the tumor microenvironment and immune system using single-cell transcriptomics data. In the GenomeDataLab, within the DECIDER project, his interests are to develop statistical methods to understand the mechanisms of temporal tumor progression and drug resistance in ovarian cancer.
Aleix performed his PhD at the Institute of Molecular Biology of Barcelona (IBMB) investigating chromatin structure and function, and graduated in 2016. Next, he joined the Aguilera lab at CABIMER in Sevilla as a postdoc to study on the mechanisms used by cells to prevent genome instability, a hallmark of cancer. He joined the GenomeDataLab in 2021 and his research interest is understanding the contribution of chromatin factors to the maintenance of genome integrity. Outside of science, he likes to spend time with his family, sports and cooking.
“Science can never solve one problem without raising ten more problems.” ― George Bernard Shaw
Daniel studied computer science in Barcelona and did his PhD on securing the storage of genomic data at the Universitat Politècnica de Catalunya. In the lab, Daniel manages the IT resources and automates the processing of WGS cancer datasets. In his free time he tries to learn new stuff on the Internet, and sometimes he starts (and occasionally even finishes) projects in the maker and the Machine Learning scene.
Sergio graduated in Biology at Universitat Autónoma de Barcelona and studied a Masters in Biomedicine at Universidad de Barcelona. After a few years in Australia, where he conducted a PhD in Molecular Genetics and Exercise. Currently, he is aiming to find out vulnerabilities that could affect the fitness of hypermutated cancer cells. Additionally, he acts as a lab manager of the wet-lab arm of the group. Sergio is a very active and outgoing person, who loves climbing, hanging out with friends, and playing guitar.
“We are stuck with technology when what we really want is just stuff that works.” ― Douglas Adams