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Alex Gaudio

Auscultation Research:

Sensing, Processing and Machine Learning

Bio

Alex Gaudio researches the auscultation of heart and lung sounds, with a focus on sensing, signal processing and machine learning. Alex is a postdoctoral fellow at Johns Hopkins University. In 2023, he received a Ph.D. from Carnegie Mellon University (CMU), a Ph.D. from the University of Porto, and an M.S. from CMU. He was honored as a Champion of Social Justice for his non-profit, NYC Makerspace in 2018, and he worked as a data scientist and engineer in New York City for seven years (2011-2018). He received a B.A. in jazz performance and composition at Bard College, during which time he also worked as an Emergency Medical Technician in ambulances and in a hospital.

Advice to myself and to my friends and colleagues: Visionary people embrace challenge by inventing opportunities and pursuing ideas. Their success is achieved not by meeting requirements or emphasizing credentials, but by giving others the ability to appreciate, use and adapt the things they love most. Think big, then go a lot bigger, and find clever ways to make it happen. People will follow and support you when they can believe in what you are doing. Setup a safety net, and then jump!

Education

  • Johns Hopkins University

    Postdoctoral Researcher at the Computational Audio Perception Lab (Fall, 2023)
    Advisor: Prof. Mounya Elhilali

  • Carnegie Mellon University

    Ph.D. in Electrical Computer Engineering (2023)
    Advisors: Prof. Asim Smailagic, Prof. Aurelio Campilho

  • University of Porto

    Ph.D. in Electrical Computer Engineering (2023)
    (via CMU Portugal dual PhD degree program)

  • Carnegie Mellon University

    M.S. in Electrical Computer Engineering (2023)

  • Bard College

    Bachelor of Arts in Music, 2010

Multi-disciplinary Research Interests

  • Auscultation of heart and lung sounds
  • Sensing and Signal processing, especially of sound
  • Machine learning
  • Data efficient ML, compression, localization, privacy
  • Medical Image and Signal Analysis

Current Publications

Journal, peer reviewed

Conference, peer reviewed

Patents

Contact Me

I am interested in collaborations of many kinds and with people of a wide variety of different experiences and skill-sets. I'm especially focused on academic collaboration. I am also usually looking for students to help with research projects. I am also interested in industry collaborations related to digital stethoscopes.

Email: click@to.reveal.com