Lucas F Wahl

The paper uses multi-parametric behavioral assays to capture sex- and environment-dependent behavioral differences in autism mouse models, showing improved classification accuracy compared to classical tests.

This paper introduces an automated method to quantify burying bouts and activity characteristics in the marble burying test using machine learning, revealing differences in behavior across mouse models of neurodevelopmental disorders.

This study investigates neurodevelopmental deficits in activated PI3Kδ syndrome (APDS) using patient assessments and a murine model, showing visuomotor and motor impairments linked to PIK3CD mutations.