Summary
Karla Gonzalez is a research-focused bioinformatician with eight years' experience building and validating NGS and GWAS pipelines for academic, clinical and commercial settings. Currently a Research Assistant at King鈥檚 College London, she combines hands-on pipeline development (variant calling, structural variant detection, kinship analysis) with statistical genetics and ancestry estimation from her work on metformin response in Mexican cohorts. Trained to distinction in Genomic Medicine and retraining in data science, she is actively expanding into machine learning engineering, data visualization and Python to move analyses from exploratory to production-ready. Her background teaching mathematics and running workshops informs a clear, pedagogical approach to client support and collaborative research. Colleagues value her for turning complex genomic workflows into reproducible, benchmarked tools that bridge research and applied healthcare.
8 years of coding experience
2 years of employment as a software developer
Data Science, Data Science at HyperionDev
Master of Science - MSc, Genomic medicine, With distinction, Master of Science - MSc, Genomic medicine, With distinction at University of Southampton
Universidad Nacional Aut贸noma de M茅xico (UNAM)