Natalia Alkon

Conducted independent biomedical research from hypothesis development and experimental design through data generation, statistical analysis, interpretation, and scientific reporting. Critically evaluated experimental results and literature for methodological rigor, consistency, and strength of evidence; assessed whether conclusions were supported and identified limitations, confounding factors, and alternative explanations. Prepared peer-reviewed manuscripts, scientific reports, presentations, and responses to scientific feedback, and communicated complex concepts to interdisciplinary audiences. Applied statistical methods to biological and imaging datasets using R and Python. Performed single-cell RNA-seq analyses using Scanpy and Seurat (clustering, dimensionality reduction, differential expression), and conducted quantitative image analysis and exploratory data analysis for multidimensional datasets.