My research focuses on understanding complex human diseases by undertaking integrative approaches, which combine biology, computational and statistical learning, bioinformatics, and genomics. In particular, I am interested in developing computational algorithms, software and tools i) to help identify genetic and regulatory mechanisms underlying human diseases, so that we can better understand why different genetic and gene expression changes in patients can lead to different disease phenotypes; ii) to identify biomarkers, and classify and diagnose various human diseases using metadata (e.g., genetic, gene expression and phenotypic data); and iii) to predict outcomes of patients with human diseases using metadata.
My current work involves: i) subphenotyping asthma patients using computational approaches, and ii) understanding breast cancer mechanisms using dynamic network learning approaches.
I am a Associate Research Professor in the Lane Center for Computational Biology at CMU.
I received the Ph.D. degree in Computational Molecular Biology from the joint graduate program of Rutgers University and UMDNJ.
I also received the M.S. degree in Computer Science from the University of California at Santa Cruz where I worked on the construction of the Human Genome Browser.
I later did a postdoctoral training at Lawrence Berkeley National Laboratory.
I joined the faculty of the Division of Pulmonary, Allergy and Critical Care Medicine at the Department of Medicine of the University of Pittsburgh in 2004, and recently moved to CMU at 2012.
weiwu2 at cs dot cmu dot edu
Lane Center for Computational Biology
School of Computer Science
5000 Forbes Avenue
Pittsburgh, PA, 15213