proteins and gene expression networks regulate homeostasis and the emergence of complex traits, and their structure and dynamics encode function. we use simulations and machine learning to probe this relationship across scales, from single molecules to whole transcriptomes

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rare behavior in noisy complex biophysical systems can be inferred and regulated by tunable control knobs. we use ai models to parameterize these knobs in simulations to study molecular and evolutionary processes far from equilibrium 

resistant cancer cells undergo clonal expansion to proliferate in new environments and even in the presence of targeted drugs. we learn how to steer these processes and the groups of genes that cause them