ion channels are the molecular tools that cells use to produce rapid electrical signals that make hearts beat, muscles contract, and brains think. We are interested in the origin, diversity, evolution, regulation, and function of the ion chanome (all ion channels in a genome)

we are curious about how different organisms use similar or different cellular and molecular tools to sense, encode, and process environmental and body information

the cells that form our brains are highly heterogeneous and dynamic. We are curious about the systems properties underlying the biology of these cells and are exploring how  we can use tools from network theory to study them

we are interested in the common and particular causes and consequences of neuronal dysfunction across neurodevelopmental and neurodegenerative disorders. We aim to develop some kind of biologically-informed conceptual framework to understand principles underlying genotype-phenotype associations in brain disease

how can we make better use of data to understand biology? We are interested in developing computational resources using biological knowledge and tools/concepts from network science, machine learning, and dynamical systems https://github.com/davilavelderrainlab 

we are curious about the way AI deep learning models seem to "learn" biology. We are interested in investigating how to make sense of the abstract internal representations of AI models in terms of underlying biology.