Cen Wan, PhD
Lecturer in Computer Science
Birkbeck, University of London
Malet St,

Recent News
  • PhD studentships are available - please get in touch for initial discussions.

  • Two extended abstracts were accepted by ISMB/ECCB 2023.

  • One paper was accepted by IEEE BIBM 2022.

  • One extended abstract was accepted by RSGDREAM 2022 as a poster presentation.

  • One paper was accepted by IEEE SMC 2022.

  • One extended abstract was accepted by ISMB 2022 Bio-Ontologies COSI as an oral presentation.

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.

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.