Short Biography


Cen Wan, PhD
Lecturer in Computer Science
cen.wan{at}bbk.ac.uk
Birkbeck, University of London
Malet St,
London, 
WC1E 7HX


Academic Experience

I am a lecturer (
≈ 
assistant professor) in computer science at the Department of Computer Science and Information Systems, Birkbeck, University of London. 
I was a post-doctoral researcher in machine learning and bioinformatics at the Bioinformatics Group (Professor David T. Jones' Lab), Department of Computer Science, University College London (UCL), and jointly affiliated with the Biomedical Data Science Laboratory at the Francis Crick Institute. 
Before joining UCL, I was pursuing the PhD in computer science at the University of Kent (supervised by Professor Alex A. Freitas), where I continued my research interests on developing novel machine learning and data mining classification algorithms. I started research on machine learning (
supervised by Dr Irina V. Biktasheva) at the University of Liverpool.

I was with the ProCovar project being sponsored by the ERC Advanced Grant, after finishing the BBSRC flagship Strategic LoLa project - DDIP (Drosophila Developmental Interactome Project), to characterise the developmental proteome of Drosophila melanogaster.

  • Lecturer (≈ Assistant Professor), Birkbeck, University of London
  • Post-doctoral Researcher, The Francis Crick Institute
  • Post-doctoral Researcher, University College London 
  • PhD in Computer Science, University of Kent
  • MSc in Computer Science, University of Liverpool
  • BEng in Computer Science and Technology, FAFU


Research Interests

My research interests lie in the algorithmic novelty of machine learning and data mining methods, particularly in the hierarchy and structure-based algorithms, e.g. hierarchical graph representation learning, graph adversarial networks, and hierarchical constraint-regularised probabilistic graphical model. I am also interested in the research of machine learning applications, particularly in bioinformatics and computational biology, e.g. protein function prediction, ageing-related gene function prediction, and RNA-Seq data analysis.