Therapeutic/Technology: Bioinformatics/Computational Tools


Neuroimmune interactions in the developing human brain

Research Objective This project will identify mechanisms by which immune cells regulate human brain development, and use stem cell derived models to identify pathological changes induced by congenital virus infection. Impact Neurodevelopmental disorders caused by immune cell perturbations will be impacted by the fundamental understanding of how immune system controls normal development of the brain. […]

An interactive data resource for hypothesis testing in stem cell single-cell gene expression and validation of the results with brain organoids

Research Objective We are building a "virtual molecular microscope" where anyone can quickly visualize a very recent, high-throughput molecular assay, single-cell RNA-seq and spatial gene expression studies Impact Currently, a lot of data has been published, hundreds of datasets on the cerebral cortex alone, but it takes hours to convert the datasets and look at […]

Functional genomics to study cellular convergence across ASD risk genes in neurodevelopment

Research Objective Our objective is to enable scalable genetic screening to study how neurogenesis is impacted by risk genes implicated in human psychiatric disorders. Impact We will develop and apply state-of-the-art genomic analysis to seek mechanisms and disease modifying solutions. Major Proposed Activities Identifying and validating efficient gRNA for gene editing Identify risk gene effects […]

Establishment of a novel approach to systematically study the dynamic organization of protein complexes in stem cells

Research Objective We focus on hiPSCs pluripotency and neurodifferentiation to develop a novel framework to allow simultaneous identification of multiple interactions between proteins and between proteins and the genome Impact Our framework will allow high-throughput queries of the organization and functionality of proteins and shift the focus towards unprecedented, multi-dimensional studies of the cellular complexity. […]