Computer Laboratory

Naruemon Pratanwanich (Ploy)

About me

I am a PhD student in the Artificial Intelligence (AI) Group of the Computer Laboratory, University of Cambridge, under the supervision of Dr. Pietro Lio', and a member of Darwin College. I was granted the Royal Thai Government Science And Technology Scholarship with regard to my PhD studies.

In 2009, I received my first degree of BEng in Computer Engineering from Chulalongkorn University, Thailand, with the thesis entitled “Thai Text-to-Speech of English Graphemes” supervised by Assc. Prof. Dr. Atiwong Suchato and Assc. Prof. Dr. Proadpran P. Punyabukkana. The objective was to serve as a plug-in for text to speech program, a computer-aided application for the blind. This is my starting point to change the direction of my research to serve the purpose of health science.

With the ChulalongKorn University Graduate Scholarship to Commemorate the 72nd Anniversary of His Majesty King Bhumibol Adulyadej, I decided to enroll the MSc of Biomedical Engineering at Chulalongkorn University, Thailand. Graduated in 2011, I conducted the thesis under the title of “Association Between LINE-1 Characteristics And Gene Expresssion in Cancers Using Data Mining Techniques”, supervised by Asst. Prof. Dr. Chatchawit Aporntewan and Prof. Dr. Apiwat Mutirangura, M.D.

Currently, my research interests have focused on machine learning techniques, including Bayesian approaches and latent models, to analyse multiple kinds of –omics data e.g. gene expression data and gene–pathway data from Kyoto Encyclopedia of Genes and Genomes (KEGG), with the aim of personalised medicine and drug repositioning based on pathway analysis.


  • N. Pratanwanich and A. Mutirangura, and C. Aporntewan. Mining LINE–1 Characteristics That Mediate Gene Expression. 1st International Conference on Computational Systems–Biology and Bioinformatics (CSBio 2010), Nov 3–5 2010. DOI: 10.1007/978–3–642–16750–8_8

Talks & Posters

  • N. Pratanwanich and P. Lio'. Bayesian Inference for Learning Between-Pathway Network: A New Tool for Studying Drug-Disease Interactions. 42nd European Mathematical Genetics Meeting, University of Cologne (Germany), April 1&ndash2 2014.

  • N. Pratanwanich and P. Lio'. Bayesian matrix factorisation for learning latent pathway inter-dependencies and identifying responsive pathways. 24th International Conference on Genome Informatics, Matrix @ Biopolis (Singapore), December 16&ndash18 2013.

  • N. Pratanwanich and P. Lio'. Drug-Disease Bridge. PhD Summer School, Microsoft Research (Cambridge, UK), July 1&ndash5 2013. PDF

  • N. Pratanwanich and P. Lio'. Disease-Pathway Identification with Pathway-Pathway Correltion Using Bayesian Inference. Health Challenge Thailand 2013, Royal Thai Embassy (London, UK), June 15 2013. PDF

Artificial Intelligence Group
Computer Laboratory
University of Cambridge
15 JJ Thomson Avenue
Cambridge CB3 0FD
Tel: +44 (0)1223-7-63572