Neelakshi Soni

Neelakshi Soni holds a Ph.D. in Mathematical, Computational and Systems Biology from the University of California, Irvine (2017-2023). Her research focuses on computational biology and bioinformatics, with a particular emphasis on neurodegenerative disorders. Neelakshi’s work involved investigating genetic and phenotypic overlap between various neurodegenerative conditions, developing computational pipelines for high-throughput sequencing data analysis, and integrating multi-omic data to identify patterns and biological pathways in complex biological phenomena. She applied machine learning and statistical analysis techniques to large-scale genomics datasets, with a focus on neuroimmunology and data analysis in the context of Alzheimer’s disease and other neurodegenerative conditions. Neelakshi developed and optimized bioinformatics tools for analyzing next-generation sequencing (NGS) data sets and performs cell-type enrichment analysis to identify specific cell populations in neurodegenerative contexts. Her expertise spans various programming languages and tools, including R, Python, and standard NGS bioinformatics toolsets, which she uses to analyze complex biological data and extract meaningful insights related to neurodegenerative diseases.