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how to engineer their spectral response for multiparameter sensing, guided by fundamental bounds on estimation precision, and implement advanced computational design methods to realize optimal
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in populations under selection. However, currently, no unbiased method exists to accurately estimate genetic variance in populations under selection. The GEN project aims to develop and validate a
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. The focus will be on enriching statistical methods through advanced machine learning techniques, for instance, by learning latent representations of the data. In addition to utilizing such techniques
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from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation