Assistant Professor, Department of Biomedical Informatics and Intelligent Systems, University of Pittsburgh
My research is at the intersection of medical vision (medical image analysis), machine learning, and bioinformatics. I develop algorithms to analyze and understand medical images along with genetic data and other electrical health records such as the clinical report. For example, I have developed a probabilistic model to extract information from brain images (Magnetic Resonance Images) of patients with Alzheimer's disease and relate them the underlying genetic markers involved in the disease. I am interested in novel method development as well as real-world clinical applications.
Professor of Computer Science & Engineering, University of Washington
Associate Professor, Computer Science Department, Federal University of Sao Carlos
Engineering Manager, Google Pittsburgh
Assistant Professor of Radiology, Biomedical Informatics, and Bioengineering, University of Pittsburgh
Dr. Wu’s background is in computer vision with additional training in radiology and clinical imaging. His research interfaces a broad range of interdisciplinary in computational science and medicine for translational and clinical applications, with main areas in computational biomedical imaging analysis, big (health) data coupled with machine/deep learning, imaging-based clinical studies, radiomics/radiogenomics, and artificial intelligence in clinical informatics/workflows. Current research interests center on computational breast imaging and clinical studies for investigating quantitative imaging-derived biomarkers, models, and systems for breast cancer screening, risk assessment, diagnosis, prognosis, and treatment, towards improving individualized clinical decision-making and precision medicine.