Balqees Shaaban

Accomplished Bioinformatics Specialist with a robust background at the National Human Genome Project of Bahrain, excelling in whole genome sequencing and variant interpretation. Expert in NGS Technologies and Python, demonstrating a keen ability for workflow automation and data analysis. Proven track record of leveraging machine learning to enhance genomic research outcomes.

• 3rd Masterclass in Clinical Laboratory Genetics and Genetic Counseling Workshop, King Faisal Specialist Hospital and Research Center, 11/17/24, 11/19/24
• Rare Diseases: From Clinical to Genetic Diagnosis and Counseling, Arabian Gulf University, 12/11/24, 12/11/24

• ClinGen Volunteer Training, Ongoing, Certification in Variant Annotation & Interpretation
• International Pharmacogenomics Mini Course, International Center for Genetic Disease, Harvard Medical School & Brigham and Women’s Hospital
• Harvard International Molecular Genomic Medicine and Biostatistics Course
• Harvard International Clinical Genomic Medicine Course, Bahrain Genome Program, Harvard Medical School & Brigham and Women’s Hospital
• Genomic Surveillance & Next-Generation Sequencing Training, WHO Public Health Laboratories
• Harvard Keynote Series on Genomic Medicine, Genetic and Therapeutic Approaches to Tackle Neurodevelopmental Disorders
• Whole Genome Sequencing (WGS) & Variant Interpretation, Harvard Medical School, WHO Public Health Labs
• Genomic Surveillance & FAIR Data Sharing, WHO, Broad Institute, Harvard iCGD
• Human Whole Genome Sequencing, NextSeq Illumina, Novaseq, Sanger sequencing

• Machine Learning & Predictive Genomics, Developed ML models to predict clinical outcomes in neuroblastoma using RNA-seq data.
• Cancer Genomics & Liquid Biopsy Biomarkers, Monitoring Adrenocortical Carcinoma (ACC) Using ccfDNA.
• Multi-Omics Data Analysis & Environmental Genomics, Processed chemical water data, scaling and identifying significant changes using Python.
• C1q Expression in Hematopoietic Stem Cells, Investigated C1q subunit expression in hematopoietic stem cells using single-cell RNA-seq analysis.

• Arabic, Native
• English, C1 Level
• German, B2 Level