Joshy George, Ph.D.
Director, Computational Sciences
My research focuses on applying machine learning, statistical techniques, and computational methods to address problems ranging from experimental design to data analysis in systems biology.
My interest is to develop principled methods to solve biological problems using quantitative methods from bioinformatics, machine learning, data science, and mathematics. In our group, we apply these computational methods to build predictive models to support cancer precision medicine and to understand the molecular mechanisms leading to diseases.
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Featured ArticleMay 25, 2021Asian Pacific American Heritage Month 2021 Q&A
To celebrate Asian Pacific American Heritage Month 2021 at JAX, we interviewed some of our Asian and Pacific Islander employees from across our various campuses and job roles about their work at JAX and their heritage.
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Research HighlightJanuary 18, 2021JAX uses genetic models to fight CUP
A JAX team developed CUP-AI-Dx, a machine learning tool that uses RNA sequence data for analysis. The researchers show that CUP-AI-Dx provides an important clinical tool to help guide therapies for CUP patients.