Bio
Alex Gaudio's research focuses on explainable machine learning for analysis of medical images and signals, with emphasis on explanations of bias in context of prediction, privacy, and compression. He is a dual PhD degree candidate at Carnegie Mellon University (CMU) and at the University of Porto, and completed his master's degree at CMU. He was honored as a Champion of Social Justice for his non-profit, NYC Makerspace. He worked as a data scientist and engineer in New York City for 7 years prior to the PhD. 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: The way people create and interpret their life paths is fascinating. 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 see, understand, and believe in what you are doing. Just do it!
Research Interests
- Explainable Deep Machine Learning
- Medical Image and Signal Analysis
- Non-invasive medical devices for Cardiology
- Privacy, Compression and Data Access
This is my Five-Fifteen Year Plan:
- Establish an applied research and teaching lab in a university medical hospital, focused on explainable machine learning for analysis of non-invasive medical devices and cardiology data.
- Develop an incubator to spin off our startup ideas and license the intellectual property from the research lab.
- Establish a non-profit to find and train individuals from underserved or disadvantaged backgrounds to become employees and leaders of our incubated companies.
- Advise and teach all people about learning machines, in the university, hospital, local community, and in industry.
- By the way, I will completely revolutionize the digital stethoscope in medicine.
- Let's collaborate. Contact me.
Education
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Carnegie Mellon University
Ph.D. Candidate in Electrical Computer Engineering (expected 2023)
Advisors: Prof. Asim Smailagic, Prof. Aurelio Campilho -
University of Porto
Ph.D. Candidate in Electrical Computer Engineering (expected 2023)
(via CMU Portugal dual PhD degree program) -
Carnegie Mellon University
M.S. in Electrical Computer Engineering (expected 2021)
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Bard College
Bachelor of Arts in Music, 2010
Current Publications
Journal, peer reviewed
Conference, peer reviewed
Patent
Invited Talk
Teaching
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