Computer Laboratory

Naruemon Pratanwanich (Ploy)

About me cv

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 by 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 was the starting point of my current 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 been focused on machine learning techniques, including Bayesian approaches and latent variable models, to analyse multiple –omics data e.g. gene expression data and gene–pathway data, with the aim of personalised medicine and drug repositioning.

Ongoing projects using probabilistic latent variable models

  • Drug repositioning with information discovery through latent variables
  • Drug sensitivity prediction with information discovery through latent variables
  • Drug side effect prediction
  • Learning pathway crosstalks using discrete models

Journal papers

  • Claudio Angione*, N. Pratanwanich*, and P. Lió. A hybrid of metabolic flux analysis and Bayesian factor modeling for multi-omic temporal pathway activation. ACS Synthetic Biology , 2015 Under revision
  • N. Pratanwanich and P. Lió. Exploring the complexity of pathway–drug relationships using latent Dirichlet allocation. Computational biology and chemistry, 2014. DOI: 10.1016/j.compbiolchem.2014.08.019 R code
  • N. Pratanwanich and P. Lió. Pathway-based Bayesian inference of drug–disease interactions. Molecular BioSystems, 2014. DOI:10.1039/C4MB00014E MATLAB code

Conference papers with proceedings

  • N. Pratanwanich and P. Lió. Who wrote this? Textual Modeling with Authorship Attribution in Big Data. Data Mining Workshops (ICDMW), 2014 IEEE 13th International Conference on Data Mining. IEEE, Shenzhen, China, Dec 14–17 2014. To be appear Prepint Talk
  • N. Pratanwanich, A. Mutirangura, and C. Aporntewan. Mining LINE–1 Characteristics That Mediate Gene Expression. 1st International Conference on Computational Systems–Biology and Bioinformatics (CSBio 2010), November 3–5 2010. DOI: 10.1007/978–3–642–16750–8_8

Talks, abstracts, posters

  • Bayesian Factor Modelling for Omics Data Analysis to Drug Treatments. First Workshop on Bringing Maths to Life (BMTL), Naples, Italy, Oct 27-29 2014. Talk
  • A Hybrid of Multi-Omics FBA and Bayesian Factor Modelling to Identify Pathway Crosstalks. Sixth International Workshop on Bio-Design Automation (IWBDA), Boston, USA, June 11-12 2014. Talk Abstract
  • Bayesian Inference for Learning Between-Pathway Network: A New Tool for Studying Drug-Disease Interactions. 42nd European Mathematical Genetics Meeting (EMGM), University of Cologne, Germany, April 1-2 2014. Abstract
  • Bayesian matrix factorisation for learning latent pathway inter-dependencies and identifying responsive pathways. 24th International Conference on Genome Informatics, Matrix @ Biopolis Singapore, December 16-18 2013. Poster
  • Disease-Pathway Identification with Pathway-Pathway Correltion Using Bayesian Inference. Health Challenge Thailand 2013, Royal Thai Embassy, London, UK, June 15 2013. Abstract

Summer schools

  • Applied Bayesian Nonparametrics (ABS2014) by Michael Jordan (UC Berkley) and Francois Caron (Oxford) , Como, Italy, June 16-20 2014.
  • PhD Summer School at Microsoft Research , Cambridge, UK, July 1-5 2013. Poster

Supervision at Computer Laboratory, University of Cambridge

  • MPhil project on probabilistic canonical corelation analysis (CCA), 2014-present
  • MPhil project on probabilistic matrix factorisation and regression, 2014-present
  • Part II (undergrad) projects on mixed-membership topic modelling, 2013-present
  • Bioinformatics, 2013-present

FE12
Artificial Intelligence Group
Computer Laboratory
University of Cambridge
15 JJ Thomson Avenue
Cambridge CB3 0FD
Tel: +44 (0)1223-7-63572
Email: np394@cam.ac.uk
© 2013 Computer Laboratory, University of Cambridge