Tom Lorimer

GrimACE is an automated tool for assessing pain and well-being in mice using computer vision, showing high correlation with expert evaluations and detecting pain and treatment effects.

The paper shows that causal relationships can exist in transcriptional networks without correlation, using nonlinear causality tests to detect uncorrelated causal links in yeast and mouse.

The paper introduces a method to quantify behavioural changes in C. elegans using prediction error from time-delay-embedded attractors, detecting subtle dynamics in movement and escape responses.

The paper identifies a strong correlation between temperature events and fish egg abundance peaks across multiple species and predicts this year's summer egg abundance.