I am a PhD student in Reproductive Biotechnology with a robust background in animal breeding and genetics, supported by an Erasmus Mundus Master’s degree in Animal Breeding and Genetics. I am skilled in R programming, Linux shell scripting, statistical analysis, and bioinformatics. Proactive and experienced in international research, teaching, and project management, I possess excellent communication skills.
Programming: R, Linux shell scripting, familiar with Python
Statistical Software: Statistical analysis, PLINK, GraphPad Prism, IBM SPSS
Omics Analysis: RNA-Seq Analysis, Metabolomics
Breeding & Bioinformatics tools: MoBPS (Modular Breeding Program Simulator), MEGAX (phylogenetic analysis), MetaboAnalyst 60, NCBI, Ensembl, Primer3, ClustalO, CodonCode Aligner
Laboratory: DNA/RNA/Protein isolation, PCR, RT-qPCR, Sanger Sequencing, CASA, Flow Cytometry, Fluorescence Microscopy, Chromatography, Microbiology
Additional skills: Machine Learning, Scientific Figure Creation (BioRender, Canva)
Management skills: Project Management, Communication, Leadership, Problem-Solving, Teamwork
-Conducted pedigree analysis to determine the inherited pattern
-Performed molecular techniques, followed by statistical analysis to detect mutated genes associated with disease