Xingyu Li


Dr. Li's research interests include machine learning, computational medical imaging, AI for health, and visual signal processing. A general theme is intelligent computational systems for (i) multi-dimensional data analytics and understanding, (ii) computer vision, and (iii) health informatics. Her research outcomes have been applied to biologists' state-of-the-art study on pathology image based breast cancer prognosis. Current projects in Dr. Li's Group includes computational medical image analysis (e.g trusted diagnostic systems, deep pathological diagnosis, etc) and ai for healthcare (e.g. EEG signal analysis, computational genomes for COVID-19, etc).