Gaia Skibinski
Papers
1
Total Citations
10
H-Index
1
About
Gaia Skibinski is a neuroscientist whose research centers on the molecular mechanisms of neurodegeneration, with a particular focus on amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Her most cited work introduces a pioneering "three-groups model" for high-throughput survival screens, a statistical framework that dramatically improves the analysis of longitudinal, single-neuron data from automated robotic microscopy. This contribution has been instrumental in enabling researchers to accurately identify genetic modifiers of neuronal survival, moving beyond simple binary readouts to capture nuanced, time-dependent effects. With over 10 citations on this key methodological paper alone, Skibinski’s work has provided a critical tool for the field, allowing for more robust and reproducible drug and genetic screens. Her research elegantly bridges cutting-edge automation and rigorous statistical modeling to dissect the complex biology of motor neuron death, offering new avenues for therapeutic target discovery in devastating neurodegenerative diseases.
Research Focus
Key Achievements
Top Papers
- 1A Three-Groups Model for High-Throughput Survival Screens10 citations · 2016