As Neural Data Architect in the Wu Tsai Neurosciences Institute, Bryce holds the regularly occuring Data Best Practices workshops and electives to educate and empower the Stanford neuroscience and broader research communities to conduct more open and reproducible science. These workshops and electives combine short lectures on key topics with hands-on introductions to both open-source and Stanford-specific tools. To support researchers in adopting better practices, Bryce also develops open-source tools and provides consultation for research labs.

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Our group, the Brain Interfacing Laboratory, explores basic motor systems neuroscience and neuroengineering applications. We are interested in understanding how the brain controls movement and recovers from injury, particularly within the context of recording populations of neurons. We are also interested in the applicability of brain-machine interfaces as a platform technology for a variety of brain-related medical conditions, particularly stroke and epilepsy. Our work spans both preclinical models and human clinical studies.

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