Justin Chan
Assistant Professor, Carnegie Mellon University
School of Computer Science | Software and Societal Systems
Electrical and Computer Engineering
Affiliated: CyLab, XR Center, Block Center, Energy Innovation Institute
Director, Mobile Sensing Lab
justinchan@cmu.edu

My group creates intelligent mobile and embedded systems for computational health and wireless sensing.

My work has been recognized by SIGMOBILE Research Highlights twice, SIGMOBILE Doctoral Dissertation Award Runner Up, and a IEEE Pervasive Computing Emerging Rockstar feature.

I was the PI for a successfully completed NIH SBIR grant and am a co-investigator for an NIH R21/R33 grant proposal on bringing universal newborn hearing screening to Kenya.

I earned my PhD from the University of Washington working with Shyam Gollakota and my Bachelors degree with high honors from Dartmouth working with Xia Zhou.

Research impact

  • My work on detecting ear infections using smartphones has been commercialized by Wavely Diagnostics where I am a co-founder. This technology is now FDA-listed and is available to select early access healthcare systems.

  • My earable device for low-cost newborn hearing screening has been presented to Kenya’s Ministry of Health. It has led to a larger effort called TUNE to bring universal newborn hearing screening across Kenya.

  • My work on contactless cardiac arrest detection using smart speakers has been licensed to Sound Life Sciences, which has recently been acquired by Google.

  • I led CovidSafe/CommonCircle (now WA Notify), a COVID-19 contact tracing and symptom tracking app, which became part of official efforts by the WA Department of Health to manage the pandemic.