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
Website: http://www2.dc.ufscar.br/~estevam/My research interests lie in Machine Learning and how to build computer systems capable of deep understanding structured, as well as unstructured data (such as text).
Engineering Manager, Google Pittsburgh
Associate Professor, Tsinghua University
Website: http://ml.cs.tsinghua.edu.cn/~junMy research focuses on developing statistical machine learning methods to understand complex scientific and engineering data. My current interests are in latent variable models, large-margin learning, Bayesian nonparametrics, sparse learning in high dimensions, and scalable learning algorithms.