Matt Mahoney, Ph.D.
Principal Computational Scientist
Machine learning for complex trait analysis.
I am a mathematician with a wide range of interests in systems biology. My current research focuses on machine learning tools to automatically identify biologically meaningful phenotypes from high-dimensional signals (e.g., molecular signatures, images, or time series) and gene prioritization for gene mapping experiments. I am currently a core leader for image analysis in the JAX Senescence Network Mouse Tissue Mapping Center and the Shock Center for Excellence in Aging Research. I am also interested in genetic network analyses and causal modeling for complex biological data.
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Research HighlightDecember 20, 2022Revealing the biology of senescent cells
JAX is playing a major role to bridge experimental mouse and human data and reveal the biology of senescent cells.