We develop new intelligent learning methods and complex network models for biomedical knowledge discovery.

Research Interests
  •     Evolutionary Computing
  •     Bioinformatics
  •     Computational Biology
  •     Artificial Evolution
  •     Machine Learning
  •     Complex Networks

Funding Support
  • Discovery grant from National Sciences and Engineering Research Council (NSERC) of Canada
  • Ignite R&D grant from Research & Development Corporation (RDC) of Newfoundland and Labrador 

  • 2017-09: Welcome four new members to our lab, Asma(PhD), Zhendong (PhD), Arshad (MSc), and Yu(MSc)!
  • 2017-04: Karoliina Oksanen's paper "Lexicase selection promotes effective search and behavioural diversity of solutions in linear genetic programming" was accepted for publication in IEEE CEC 2017
  • 2016-11: Ting Hu was selected for the Best Professor Award of the Department of Computer Science by the Computer Science Graduate Society (CSGS)

We are recruiting!
    We look forward to working with motivated undergraduate, graduate students, and postdocs who are enthusiastic about developing novel learning algorithms and network models to solve complex problems.