ผศ.ดร. นฤมล ประทานวณิช

Naruemon Pratanwanich , Ph.D.

Assistant Professor

Office: MATH 1108/15
Phone: 02-218-7117
Email: naruemon.p@chula.ac.th

การศึกษา

2017 Ph.D. (Computer Science) University of Cambridge, UK
2011 M.Sc. (Biomedical Engineering) Chulalongkorn University, Thailand
2009 B.Eng. (Computer Engineering) Chulalongkorn University, Thailand

สาขางานวิจัย

Field: Bioinformatics and Computational Biology, Neural Networks & Machine Intelligence

My main research focuses on the design and development of machine learning techniques. I have been developing novel probabilistic models using Bayesian inference methods in bioinformatics, where interpretable models are primarily required for laboratory validation. In addition to the medical and pharmaceutical applications, I have applied machine learning techniques especially deep neural networks in other fields such as natural language processing, recommender systems, finance, and property tech. Recently, I have also applied data visualization tools to translate our research results and data analytics to the community.

ผลงานตีพิมพ์

Kantithammakorn, P., Punyabukkana, P., Pratanwanich, P. N., Hemrungrojn, S., Chunharas, C., & Wanvarie, D. (2022). Using Automatic Speech Recognition to Assess Thai Speech Language Fluency in the Montreal Cognitive Assessment (MoCA). Sensors, 22(4), 1583.
Wan, Y. K., Hendra, C., Pratanwanich, P. N., & Göke, J. (2021). Beyond sequencing: machine learning algorithms extract biology hidden in Nanopore signal data. Trends in Genetics.
Ploy N. Pratanwanich et al. Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore. Nat Biotechnol(2021).
Gan Srirutchataboon, Saranpat Prasertthum, Ekapol Chuangsuwanich, Ploy N. Pratanwanich and Chotirat Ratanamahatana. Stacking Ensemble Learning for Housing Price Prediction: A Case Study in Thailand. InInternational Conference on Knowledge and Smart Technology (KST),
Arcchaporn Choukuljaratsiri, Nat Lertwongkhanakool, Pipop Thienprapasith, Naruemon Pratanwanich, Ekapol Chuangsuwanich. Anomaly Detection for Online Visiting Traffic as a Real-Estate Indicator: The Case of HomeBuyer. InInternational Conference of the Thailand Econometric Society (TES),
Kawisorn Kamtue, Kasina Euchukanonchai, Dittaya Wanvarie and Naruemon Pratanwanich. Lukthung classification using neural networks on lyrics and audios. InInternational Computer Science and Engineering Conference (ICSEC),
Florian Buettner, Naruemon Pratanwanich, Davis J. McCarthy, John C Marioni and Oliver Stegle. Scalable and versatile factor analysis for single-cell RNA-seq. Genome Biology, 2017.
Gautier Koscielny et al. Open Targets: a platform for therapeutic target identification and validation. Nucleic acids research, 2017.
Naruemon Pratanwanich, Pietro Lió, Oliver Stegle Warped Matrix Factorisation for Multi-view Data Integration. InJoint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-KDD), 2016.
Claudio Angione*, Naruemon Pratanwanich* and Pietro Lió. A Hybrid of Metabolic Flux Analysis and Bayesian Factor Modeling for Multiomic Temporal Pathway Activation. ACS synthetic biology, 2015.
Naruemon Pratanwanich, Pietro Lió. Pathway-Based Probabilistic Modelling for Personalised Drug Activity in Cancer. InComputational Systems-Biology and Bioinformatics (CSBio),
Naruemon Pratanwanich, Pietro Lió. Pathway-based Bayesian inference of drug–disease interactions. Molecular BioSystems, 2014.
Naruemon Pratanwanich, Pietro Lió. Exploring the complexity of pathway–drug relationships using latent Dirichlet allocation. Computational biology and chemistry, 2014.
Naruemon Pratanwanich, Apiwat Mutirangura, Chatchawit Mining LINE-1 characteristics that mediate gene expression. InComputational Systems-Biology and Bioinformatics (CSBio), 2010.

* Joint first author.

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