In alphabetical order
Dr Panagiotis Alexiou, Centre for Molecular Medicine and Biobanking
Dr Panagiotis Alexiou, Ph.D. is the ERA Chair in Bioinformatics for Genomics at the University of Malta. Since January 2023 he joined the University of Malta with the mission to bring structural changes, establishing and nurturing a strong Bioinformatics community. His research interests include the use of Machine Learning for the analysis and data mining of complex -omics data, primarily transcriptomics, as well as the mechanistic understanding of function and regulation of RNA Binding Proteins and non-coding RNAs.
Prof. Stephanie Bezzina Wettinger, Department of Applied Biomedical Science
Main research interests include using genomics, transcriptomics, multi-omics and multi-layered data to better understand the causes of diseases, particularly complex diseases such as myocardial infarction and glaucoma, to identify risk biomarkers and candidate drug targets.
Dr Joseph Bonello, Department of Computer Information Systems
Mainly interested in Protein Function Prediction and developing computational methods that map protein sequences to Gene Ontology terms. Also interested in developing tools for general Bioinformatics, such as tools for data management and visualisation.
Prof. Jean-Paul Ebejer, Centre for Molecular Medicine and Biobanking and associate member of the Department of AI
Prof. Ebejer is interested in the development of novel bioinformatics methods for both sequence and structure data in molecular biology. He has developed AI based models for virtual screening and computer-aided drug discovery. Additionally, he has supervised postgraduate dissertations and participated in funded projects in the areas of genomic, transcriptomic, proteomic, and metabolomic analysis. He is the course coordinator for the M.Sc. in Bioinformatics programme at the University of Malta.
Prof. Rosienne Farrugia, Department of Applied Biomedical Science
Research interests include: analysis of high throughput sequencing (HTS) data generated from rare disease cohorts using second and third generation sequencing technologies, better mapping and alignment techniques across pseudogene regions, genotype-phenotype associations of HTS data, and studies into the genetic structure of a population, particularly the study of founder variants and their age.
Prof. Melissa Marie Formosa, Department of Applied Biomedical Science
Prof. Formosa's interests in bioinformatics include: i) handling and analysis of large genomic and metabolomic datasets; ii) SV detection from whole genome sequencing; iii) Integration of different omics data; iv) Bioinformatics analysis of family studies with rare diseases; and v) use of Polygenic Risk Scores to validate findings.
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