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dynamical structure directly from time-series data. This includes methodological work on nonlinear state-space reconstruction, system identification, reservoir computing and related recurrent architectures
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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and diseased human tissues and immune cells of the heart, cardiovascular system, and gastrointestinal tract. The research will build spatiotemporal models of human immunological tissue architectures
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