Luca Giancardo
Associate Professor
The University of Texas Health Science Center
School of Biomedical Informatics
His research focuses on the development of new machine learning and artificial intelligence-based methodologies for unstructured biomedical data such as 2D retina images, X-Rays, 3D CT or MRIs, videos and signals extracted from the interaction with digital devices. his work has been applied to multiple 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. Dr. Giancardo has authored/co-authored more than 70 peer-reviewed articles which were featured by news outlets such as MIT Technology Review, Smithsonian magazine, and others. His research and lab have been supported by competitive grants from the National Institute of Health, Translational Research Institute for Space Health, foundations, and private companies. One of his projects (neuroQWERTY) has been included in the MIT Museum permanent exhibit “Essential MIT”
McGovern Medical School Faculty
Education & Training
PhD - University of Burgundy, France - 2011