Martin J. Robinson

Filter inference: A scalable nonlinear mixed effects inference approach for snapshot time series data

This paper introduces filter inference, a scalable method for estimating NLME model parameters from snapshot time series data, enabling efficient analysis of large datasets.

Treatment response prediction: Is model selection unreliable?

The paper shows that model selection based on AIC or model averaging can lead to unreliable treatment response predictions due to nonlinear dynamics, and proposes probabilistic averaging as a more reliable approach.

Identity-by-descent detection across 487,409 British samples reveals fine-scale population structure, evolutionary history, and trait associations

The paper detects identity-by-descent segments in 487,409 UK Biobank samples to reveal population structure, evolutionary history, and trait associations.

Neural crest cells bulldoze through the microenvironment using Aquaporin-1 to stabilize filopodia

The paper investigates the role of Aquaporin-1 in neural crest cell migration, finding it affects speed, direction, and filopodia stability through interactions with MMPs and pFAK.