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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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a data infrastructure to study the connection between environment, genes, and mental health. It will gather and organize large collections of data on people's health, environment, and genetic
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ratiometric analyses on Xenopus laevis oocytes, generating and characterizing phenotype of genetically modified mice and investigating human pathophysiology to unravel function and regulation of glutamine
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build a CRISPR-based gene editing platform that can correct patient-specific mutations in ex vivo cell therapies for genetic immune diseases. We focus on correcting blood stem cells for curative therapy