Oscar Harari, PhD

Assistant Professor

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Leader of the High Dimensional Bioinformatics Research Unit

 

Dr. Harari is a bioinformatician with expertise in artificial intelligence and neurodegeneration. He pursued his PhD research in the development and application of machine learning approaches to mine into genetic networks and during his postdoctoral studies got the training in the field of genetics of AD. His work is based in the application of machine learning and traditional statistical approaches to the discovery of novel “omics” (proteomic, transcriptomic and genetic) factors associated with AD; including both the identification of novel genetic variants and CSF biomarkers for AD, as well as the formulation of complex hypothesis that uncover the interplay of factors (i.e; pQTL, pleitropy effects; network and pathway analysis) and joint analysis of transcriptomic and genetic data.  Dr. Harari has a robust experience mining and analyzing proteomic and genomic data (Harari et al., Biol Psychiatry  2014, Kauwe et al. PLoS Gen 2014, Cruchaga et al. Neuron 2013).

Link to Harari lab