Algorithmic Dynamics Lab

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Decoding and Reprogramming LifeWe aim to significantly expand our understanding of the causal mechanisms underlying natural and artificial systems and to develop new tools to offer new mechanistic insights into the nature and sequence of molecular events inherent to cellular reprogramming..

​Algorithmic Information Dynamics is an exciting new field put forward by our lab based upon some of the most mathematically mature and powerful theories at the intersection of computability, algorithmic information, dynamic systems and algebraic graph theory to tackle some of the challenges of causation from a model-driven mechanistic perspective, in particular, in application to behavioural, evolutionary and molecular reprogramming.

Current and future research directions include: algorithmic feature selection, algorithmic model generation; connections between spectral graph theory and algorithmic complexity; the study of non fine-tuned models of causal networks; and applications of our algorithmic calculus to disentangling interconnected multilayered networks.

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