Research Interests

​Gao’s research lies at the intersection between computer science and biology. His work has two main focuses: 1) developing theory and methodology in the fields of machine learning and algorithms; and 2) solving key open problems in biological and medical fields through building computational models, developing machine-learning techniques, and designing effective and efficient algorithms. In particular, he aims to solve problems that occur along the path from protein amino acid sequences to their three-dimensional structures and functions that ultimately lead to their undesirable expression in complex biological networks.


Selected Publications


Education Profile

  • Ph.D., Computer Science, University of Waterloo, Waterloo, Canada, 2009.
  • B.Sc., Computer Science, Tsinghua University, Beijing, China, 2004.

Professional Profile

  • 2016​-Present: Associate Professor, KAUST, Thuwal, Saudi Arabia
  • 2010-2016: Assistant Professor, KAUST, Thuwal, Saudi Arabia
  • 2009-2010: Lane Fellow, Carnegie Mellon University, Pittsburgh, U.S.

Scientific and Professional Memberships

  • ​Professional member for Association for Computing Machinery (ACM)

  • American Association for the Advancement of Science (AAAS)

  • International Society for Computational Biology (ISCB)

  • Life Science Society (LSS)