Music-Based Digital Health Interventions

I am a Postdoctoral Research Associate at Northeastern University (Boston, MA, United States), with expertise in multimodal, dyadic research integrating time series analysis, wearable biosensing, computer vision, and conversational analysis.

I want to build digital health tools that use biosensing and music to better understand and support mental health. See my preprint on this topic: https://doi.org/10.48550/arXiv.2507.16074

Expected Role in the Consortium:

• Work package partner for multimodal mechanistic modeling (wearables + video) to develop digital markers of mental health

• Work package partner for music–physiology mechanistic research, quantifying how music modulates affect regulation and dyadic dynamics

Methods & Technical Contributions:

• Dyadic modeling lead: Interaction dynamics from multimodal time-series data

• Wearable pipeline support: Signal processing, synchronization, feature extraction

• Prototype development: Adaptive biosensing + music intervention tools

Looking for Partners/Coordinators with Any of the Following:

• Experience coordinating Horizon Europe Cluster Health projects

• Expertise in music psychology, music information retrieval, and computational music modeling

• Interest in adaptive/closed-loop digital health interventions using biosensing

• Access to clinical populations / mental health services for validation studies

• Industry expertise in wearables, digital therapeutics, or health AI translation

Application Areas:

• Stress, affect regulation, resilience

• Dyadic/interpersonal processes (couples, caregiver–patient, clinician–patient)

• Digital phenotyping and real-world mental health monitoring

• Adaptive music-based interventions (biofeedback, closed-loop personalization)