Research
My research group develops new statistical machine learning tools to make reliable data-driven discoveries from large and complex neuroscience data sets. Specific areas of focus include connectomics, unsupervised learning, multi-modal data integration, interpretable machine learning, and patchwork learning. We collaborate with neuroscientists working on many different systems and diseases and a wide range of data sets; these include whole brain neuroimaging, micro-scale neural recording and imaging, high-throughput genomics, and large-scale multi-modal studies.
