Justin Chan

Justin Chan is an Assistant Professor at Carnegie Mellon University, affiliated with the School of Computer Science (S3D Department) and the College of Engineering's Electrical and Computer Engineering Department. He leads the Semantic Signals Lab, focusing on creating mobile systems for physiological intelligence and augmented perception. His research spans AI-enabled healthcare systems, real-time mobile intelligence, and acoustic-tactile sensing for robotics and accessibility.

Education: Ph.D. (expected 2023) in Computer Science & Engineering from the University of Washington, M.S. (2018) from the same institution, and a B.A. (2015) in Computer Science from Dartmouth College with high honors.

Research Interests: His work combines wireless sensing, deep learning, and signal processing to develop technologies like smartphone-based ear infection detection (FDA-listed), newborn hearing screening (TUNE initiative in Kenya), and cardiac arrest detection via smart speakers. These innovations emphasize equitable healthcare access and real-world impact.

Awards:

• SIGMOBILE Doctoral Dissertation Award Runner Up
• IEEE Pervasive Computing Emerging Rockstar
• American Academy of Audiology Research Award

Grants & Projects: NIH-backed TUNE project, partnerships with NGOs like the Global Foundation for Children with Hearing Loss, and collaborations with startups like Wavely Diagnostics (FDA-listed ear infection tech) and Sound Life Sciences (acquired by Google). Leads development of privacy-preserving protocols for contact tracing (CovidSafe/WA Notify).

Labs & Teams: Director of the Semantic Signals Lab, focusing on interdisciplinary projects merging hardware, software, and clinical applications.