Profile
“As a research staff member at the IBM Thomas J. Watson Research Center, I was fascinated by the big data challenges in biology and medicine and the opportunities to make a real-life impact.”
Dr. Wei Wang’s expertise is in big data analytics. She developed scalable machine learning and data mining methods for massive data in a variety of applications. Dr. Wang’s current research spans the areas of big data analytics, bioinformatics and computational biology, computational medicine, database systems, data mining, machine learning, and natural language processing with a focus on designing efficient algorithms for discovering and representing complex patterns in large-scale, heterogeneous data. She is the founding Director of the UCLA Scalable Analytics Institute and a core faculty member of the University of California, Institute for Prediction Technology. At the Carolina Center for Genome Sciences, she collaborated with scientists from the behavioral sciences/ psychiatry, biostatistics, genetics, and proteomics to develop analytic methods and computational platforms for better understanding the genetic factors of diseases and disorders. She has filed seven patents; was recognized with a National Science Foundation Faculty Early Career Development (CAREER) award; a Microsoft Research Faculty Fellowship, and an Okawa Foundation Research Award, among others. Dr. Wang received her Ph.D. in computer science from UCLA.
Wang is also the Leonard Kleinrock Term Chair in Computer Science.