Luca Giancardo
Applied Scientist at AWS Life Science / Adjunct Professor at McWilliams School of Biomedical Informatics, UTHealth
- Role
- Applied Scientist Iii at Amazon Web Services (AWS)
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Luca Giancardo
I am a computer scientist by training with extensive experience in image/signal analysis and machine learning applied to biomedical sciences.My work has been applied to a number of biomedical applications, such as stroke diagnosis, diabetic retinopathy screening or neurodegenerative disease tracking and successfully translated to industry with two startups based on his methods. One, Hubble Telemedical, was acquired by Welch Allyn, another, nQ-Medical has raised significant investment. I have authored/co-authored more than 80 peer-reviewed articles which were featured by news outlet such as MIT Technology Review, Smithsonian magazine and others. I have received multiple awards including SBMI Dean’s Excellence Award for Research and the 100k Singapore Challenge, with the judging panel uniquely composed by Nobel Prize, Turing award and Millennium Technology Prize winners. My research has been supported by competitive grants from the National Institute of Health, Translational Research Institute for Space Health, foundations and private companies.
Experience
Applied Scientist Iii
Jan 2025 — Present · Seattle, WA, US
Applied Scientist for AWS Life Science
Education
Massachusetts Institute of Technology
Research Lab of Electronics Translational Fellow
2014 — 2015
Massachusetts Institute of Technology
M+Vision Fellowship
2013 — 2016
Solent University
Bachelor of Science (BSc) (Hons), Computer Software Engineering
2002 — 2005
Université Bourgogne Europe
Doctor of Philosophy (PhD), Medical Image Processing / Computer Vision
2008 — 2011
Universitat de Girona
MSc VIBOT, Computer Vision, Robotics
2007 — 2007
Heriot-Watt University
MSc VIBOT, Computer Vision, Robotics
2006 — 2007
Université Bourgogne Europe
MSc VIBOT, Computer Vision, Robotics
2007 — 2008
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