
Bioinformatician with over 5 years of successful experience in Bioinformatics and Multi-Omics data analysis. Recognized consistently for performance, excellence, work ethic, and efficiency. Strengths in Bioinformatics command line toolsets, R programming language and Data visualization.
As a research assistant in Bioinformatics, I have collaborated and published in a multi-Omics environment in over 30+ research projects and 9 publications in Bioinformatics analyses as:
Designed, applied, and extended bioinformatics software, pipelines and methods in research such as Protein 3-dimensional structure prediction of binding site by homology and threading modeling pipelines; Compound 3-dimensional structure prediction, and Conformer libraries preparation; Protein-Ligand and Protein-Protein Docking interactions.
Designed, applied, performed bioinformatics pipelines, for processing, quality control and statistical analysis focused on Differential expression analysis in Microarray and RNAseq, DeNovo assemblies and Proteomic experiments.
Designed, applied, performed and extended bioinformatics pipelines, for processing, quality control and statistical analysis focused on Variant identification in SNP microarray panels, NGS (WGS and WES), and Population ancestry experiments.
Designed, applied, and extended bioinformatics software, pipelines and methods for processing, quality control, and statistical Analysis to predict Differential Biomarkers in Gulf War Illness (GWI) & Chronic Fatigue Syndrome (CFS), in Metabolomics Mass Spectrometry data.
Designed and applied a bioinformatics pipeline for Metagenomics research using as genetic markers 16s and 23s rRNA to characterize the conservation in microorganism in different green leaf products.
Deep understanding of Prokaryotic diversity based on Local alignment using NCBI-BLAST tool; Multiple Sequence Alignments algorithms such as MUSCLE, T-COFFEE and MAFFT, and performed phylogenetic analysis using GeneDoc and FigTree, to discover the relationships between Salmonella spp., Escherichia coli and Enterococcus faecalis as food contaminants.
Unix/Linux
R Programming Language
NGS Bioinformatics command line tools
Cheminformatics and Structural Bioinformatics command line tools
Python Programming Language
Data Visualization
Communication and Collaboration skills
Adaptability in a Fast-pace environment handling multiple projects simultaneously with different priorities and timelines
Research and data analysis