PhD student, Computer Science
Songyun is currently pursuing a Ph.D. in Computer Science at Dartmouth College, specializing in Human-Computer Interaction and Digital Health. His research centers on harnessing AI-generated music to enhance individuals' well-being, particularly in the realms of physical therapy and autism care.
Collaborator Karen Fortuna, lead of the RealVision project, was recently featured in a spread about our collaboration to develop smartphone-based diagnostics to identify early symptoms of dementia. The full story is here: https://alumni.dartmouth.edu/stories-news/researchers-harness-power-smartphones-identify-symptoms-early-dementia-110-127
We have received a Catalyst Award from the National Academy of Medicine (NAM) for our proposal "Designing Music-Based Interventions for Aging-Related Pain: Sonifying Body Movement Using Interactive Mobile Technology to Improve Physical and Psychological Outcomes."
More info about the competition and other awardees is available here: https://nam.edu/2021-awardees-global-longevity-competition/
Committee members include Profs. Michael Casey, Soroush Vasoughi, and Liz Murnane.
Dylan, Emma, Hannah, Shirin, Sid, Songyun, Vafa, Liz and Empower Lab collaborators attended the 2024 ACM (Association of Computing Machinery) CHI conference on Human Factors in Computing Systems in Honolulu, at the Hawaiʻi Convention Center on the island of Oʻahu. This is the premier international conference of Human-Computer Interaction.
Lab members engaged in the conference in a variety of ways:
https://www.c4tbh.org/accelerator/
https://www.c4tbh.org/center-highlight/diadhawards/
Pepper Plush / Smart Toys project
For our research on music-based interventions for healthy aging, the Empower Lab has been named as one of five awardees in the National Academy of Medicine Healthy Longevity 2022 QuickFire Challenge sponsored by Johnson & Johnson!
Read the press release and more about the here.
Murnane Research Group at Dartmouth College | Contact: emurnane@dartmouth.edu | Last updated: October 2024 | Login