Computational transcriptomics in neurodevelopment

Fursham Hamid

Lecturer in Bioinformatics

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Distinct neuronal subpopulations in the brain cortex are born from region-specific progenitors that inherently display considerable degree of transcriptomic diversity. Our goal is  to understand the molecular mechanisms underlying subclass-specific neurogenesis by developing sophisticated computational methods that employ cross-disciplinary AI/ML and advanced statistical approaches. Using single-cell transcriptomics, we study how post-transcriptional mechanisms tightly regulate the expression and functional outputs of lineage-specific neuronal genes.

We also form part of the Bioinformatics Core team at the Centre for Developmental Neurobiology, designed to facilitate the processing and the analysis of high-throughput “omics” and functional imaging data.