Assoc Prof Choi Hyung Won

Appointment(s)

Associate Professor, Department of Medicine, NUS Yong Loo Lin School of Medicine
Director, Singapore Lipidomics Incubator, Life Sciences Institute

Degree(s)

Ph.D. University of Michigan Ann Arbor 2009

M.S. Stanford University 2004

B.A. Seoul National University 2001

Biography

Associate Professor Choi is a systems biology expert with research portfolio in computational modeling, bioinformatics and application of omics technologies in cardiovascular – metabolic disease research. In early career, his main research was focused on developing bioinformatic approaches to elucidate protein abundance distribution and modifications and mapping physical protein-protein interaction networks of signaling proteins in human cells.

Over his fifteen-year career in NUS, he served as main PI of five Singapore Ministry of Education research grants, co-PI in two programmatic grants, and PI of a joint DMS-NIGMS grant. During this time, his team has developed innovative and robust solutions for mass spectrometry-based proteomics and metabolomics data analysis and described cellular proteome and metabolome dynamics in multiple disease models and population studies. His team has also contributed to the development and implementation of state-of-the-art statistical computing algorithms and interpretation of complex multi-modal, ultrahigh-dimensional data using those tools, including integrative analysis of modern multi-omics data and joint analysis of molecular and imaging data.

More recently, as the director of Singapore Lipidomics Incubator and the chair of CVMD TRP, he is currently leveraging his expertise in protein and small molecule analysis, cheminformatics and data integration to lead a series of projects related to fatty liver disease and cardiovascular diseases.

His current research work includes mechanistic studies for lipid metabolism dysregulation and the transition from metabolic perturbation to tissue fibrogenesis, and clinical biomarker studies in type II diabetes and its complications, cardiovascular disease, and cognitive decline and other aging-related diseases conducted in Singapore and abroad.

Research Areas/Research Interest

Systems Biology and Bioinformatics

Metabolomics and Proteomics

Ultrahigh-dimensional Statistical Computing

Clinical Application of -Omics Technologies

Selected Publications

Learning massive-scale partial correlation networks in clinical multi-omics studies with HP-ACCORD. Annals of Applied Statistics (In press), 2025

S. Lee, J. Bang, Y. Kim, H. Choi, S. Oh, J-.H. Won.

Phosphoprotein network analysis of white adipose tissues unveils deregulated pathways in response to high-fat diet, 2016

Alli Shaik Asfa, Beiying Qiu, Sheena Wee, Hyungwon Choi, Jayantha Gunaratne, Vinay Tergaonkar

SAINTq: Scoring protein-protein interactions in affinity purification - mass spectrometry experiments with fragment or peptide intensity data, 2016

Guoci Teo, Hiromi Koh, Damian Fermin, Jean-Philippe Lambert, James DR Knight, Anne-Claude Gingras, Hyungwon Choi

Gene Essentiality Is a Quantitative Property Linked to Cellular Evolvability, 2015

Gaowen Liu, Mei Yun Jacy Yong, Marina Yurieva, Kandhadayar Gopalan Srinivasan, Jaron Liu, John Soon Yew Lim, Michael Poidinger, Graham Daniel Wright, Francesca Zolezzi, Hyungwon Choi, Norman Pavelka, Giulia Rancati

Refractive Errors and Age-related Macular Degeneration: A Systematic Review and Meta-Analysis, 2013

Chen-Wei Pan, M Kamran Ikram, Carol Y Cheung, Hyung-Won Choi, Chiu-Ming Gemmy Cheung, Jost B Jonas, Seang-Mei Saw, Tien-Yin Wong

iOmicsPASS: network-based integration of multiomics data for predictive subnetwork discovery. npj Systems Biology & Applications. 2019; 5(1), 22.

H. Koh, D. Fermin, C. Vogel, KP Choi, RM Ewing, H. Choi.

An integrated signature of extracellular matrix proteins and a diastolic function imaging parameter predicts post-MI long-term outcomes. Frontiers in Cardiovascular Medicine. 2023; 10:1123682.

H. Koh, … H. Choi, M.R. Wenk, A.M. Richards, M.Y. Chan.

Computationally scalable regression modelling for ultrahigh-dimensional omics data with ParProx. Briefings in Bioinformatics. 2021; bbab256.

S. Ko, G.X.L. Li, H. Choi*, J-.H. Won*.

multiSLIDE: a web server for exploring connected elements of biological pathways in multi-omics data. Nature Communications. 2021; 12(1):2279.

S. Ghosh, A. Datta, H. Choi

MRMkit: automated data processing for large-scale targeted metabolomics analysis. Analytical Chemistry. 2020; 92 (20) 13677-13682.

G. Teo, W. Chew, B. Burla, D. Herr, ES Tai, M. Wenk, F. Torta, H. Choi.