Duarte is a Scientist at Fraunhofer AICOS and a PhD Student in Biomedical Engineering at Nova School of Science and Technology. His research focuses on developing eXplainable Artificial Intelligence (XAI) methods applied to biomedical time series. These methods support medical decision-making, help doctors to understand and interpret AI-based decisions and foster trust and transparency. As a visiting researcher at the Massachusetts Institute of Technology and under the supervision of Prof. Elazer R. Edelman, Duarte will develop and cutting-edge eXplainable Artificial Intelligence algorithms to explain decisions from machine learning models in electrocardiology. The opportunity to visit Edelman Lab provides a rich collaborative environment to interact with clinicians, engineers, and scientists to leverage the impact of XAI in clinical practice and create translatable solutions to cardiology.

Universidade Nova de Lisboa– Massachusetts Institute of Technology

Grant duration:4 months