Cátia Vaz
Assistant Professor at ISEL, IPL.
Ph.D. in Computer Science and Engineering at IST.
Researcher at INESC-ID IDSS Lab;
External Collaborator of the Mário Ramirez Lab;
IMM, FM, UL.
Member of CCISEL.
Master in Applied Mathematics, Computer Science field, at IST.
Graduated in Applied Mathematics and Computation (LMAC) at IST
cvaz_at_cc.isel.ipl.pt
Research Interests
Algorithm engineering, computational science and engineering, data science and engineering, computational biology and bioinformatics, knowledge representation, and complex network analysis.List of publications and more information available at Google Scholar profile, ORCID ID.
Students
Software
Research Projects
- Inno4Scale, Innovative Algorithms for Applications on European Exascale Supercomputers, funded by EU.
- PhyloLearn, Learning Phylogenetic Trees From Typing Data, funded by IPL, PI.
- VIRHOSTAI, Cutting-Edge Virus-Host Interactome Discovery: A Multi-Omics AI Driven Approach,funded by FCT.
- DIVA: From data integration to visualization in large scale phylogenetics analysis, funded by IPL, PI.
- BacGenTrack, An integrated system for Bacterial Genome Tracking using high throughput sequencing technology: from identification to visualization, funded by FCT.
- NGPHYLO, Tools for large scale phylogenetic analysis, funded by FCT.
- DATASTORM, Large-scale data management in cloud environments,funded by FCT
- Patho-NGen-Trace, Next generation genome based high resolution tracing of pathogens, funded by EU.
- NetDyn,Understanding real large networks,from structure to dynamics, funded by FCT
- BIOHYPO, Confronting the clinical relevance of biocide induced antibiotic resistance, funded by EU,FP7.
- PNEUMOSYS - Uma abordagem de biologia de sistemas no estudo do impacto do metabolismo de carbono na colonização e doença invasiva pneumocócica, financiado pela FCT