Lindsay Shea is director of the Policy and Analytics Center at the A.J. Drexel Autism Institute at Drexel University in Philadelphia, Pennsylvania. She is also interim leader of the institute’s Life Course Outcomes Research Program. She focuses on research that is conducted in partnership with and that directly impacts communities and policymakers.
Lindsay Shea
Director, Policy and Analytics Center
A.J. Drexel Autism Institute
From this contributor
Pitfalls in using autism claims data: Q&A with Lindsay Shea
Insurance claims data are useful for autism research, but the field needs to standardize how they are mined, Shea says.
Pitfalls in using autism claims data: Q&A with Lindsay Shea
Explore more from The Transmitter
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
The term ‘model organism’ should be reserved for biological systems
By referring to artificial neural networks as model organisms, we run the risk of distorting funding priorities and disregard the explanatory power of a shared evolutionary history across biological organisms.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
New phase of BRAIN Initiative spawns basal ganglia ‘parts list’
With a standardized cell naming system and infrastructure for data collection and analysis, the basal ganglia project sets the stage for a whole-brain primate atlas.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.
Machine-learning model spots autism-linked variants that scramble splicing
The model provides a way to investigate genetic variation in regions of the genome whose functions have been difficult to interpret.