Congratulations to lab member Katie Walters for presenting her research poster, "AI-Enhanced Multi-Modal Neuroscience Research: From EEG and Biomechanics to Knowledge Discovery," at the AI-X Conference.
Katie's work explores how artificial intelligence can transform neuroscience research by integrating multiple data sources and streamlining traditionally labor-intensive research workflows. The project demonstrates how AI-powered approaches can improve the collection, processing, and interpretation of complex datasets, enabling researchers to move more efficiently from raw data to meaningful scientific discoveries.
The poster highlighted several applications of AI in modern neuroscience research, including EEG data engineering, markerless biomechanical reconstruction, and AI-assisted literature synthesis. These tools help improve data quality, automate repetitive tasks, and accelerate the identification of relevant scientific findings across large bodies of literature. Through the integration of EEG, biomechanics, and advanced AI methodologies, this research illustrates the growing potential of multimodal approaches to address complex questions in neuroscience and biomedical engineering. The work ultimately aims to create a stronger bridge between data collection and actionable scientific insight, supporting more efficient and impactful research outcomes.
We are proud of Katie's contributions to the lab and grateful for her dedication to advancing interdisciplinary research at the intersection of neuroscience, biomedical engineering, and artificial intelligence. Congratulations on representing our research team at AI-X and sharing this innovative work with the broader scientific community.