Zhuo Wang

zhuowang@sjtu.edu.cn

Chinese, English

Shanghai

Shanghai Jiao Tong University

Life Sciences

• 2003-2006 PhD in Biomedical Engineering/Bioinformatics, Shanghai Jiao Tong University
• Member of the Computational Biology & Bioinformatics Committee, Biomedical Engineering Society
• Member of the Bioinformatics & Artificial Life Committee, Artificial Intelligence Society

• 2022/12-Present - Shanghai Jiao Tong University, Bio-X Institute, Researcher
• 2017/1-2022/12 - Shanghai Jiao Tong University, Bio-X Institute, Associate Professor
• 2011/1-2016/12 - Shanghai Jiao Tong University, School of Life Sciences and Technology, Associate Professor
• 2013/1-2014/7 - Institute for Systems Biology, Postdoctoral Researcher
• 2006/10-2010/12 - Shanghai Jiao Tong University, School of Life Sciences and Technology, Lecturer

• 2008 Morning Star Outstanding Young Teacher Award
• 2011 Outstanding Communist Party Member, School of Life Sciences
• 2012 Morning Star Outstanding Young Scholar Award, Class B
• 2015 Candlelight Outstanding Teacher Award, Second Prize
• 2015 Teaching Rookie Nomination Award
• 2017 Young Teacher Teaching Competition, Third Prize, School of Life Sciences

Methodological research integrating multi-omics big data with complex biological networks
Development of analysis methods for genomic, transcriptomic, and metabolomic data combined with network modeling
Discovery of new molecular subtypes and potential therapeutic targets in diseases such as liver cancer and schizophrenia
Guidance for rational design in synthetic biology based on integrated models of regulatory and metabolic networks

• DROEG: a method for cancer drug response prediction based on omics and essential genes integration, Zhuo Wang*, 2023
• Multiomics Analyses Reveal Microbiome–Gut–Brain Crosstalk Centered on Aberrant GABA and Tryptophan Metabolism in Drug-naïve Patients with First-episode Schizophrenia, Zhuo Wang*, 2023
• Integrative omics analysis reveals effective stratification and potential prognosis markers of pan-gastrointestinal cancers, Zhuo Wang*, 2021
• Multi-omics characterization reveals the pathogenesis of liver focal nodular hyperplasia, Zhuo Wang*, 2022
• OptRAM: In-silico strain design via integrative regulatory-metabolic network modeling, Zhuo Wang*, 2019
• Mechanistic Modeling of Gene Regulation and Metabolism Identifies Potential Targets for Hepatocellular Carcinoma, Zhuo Wang*, 2020
• Systematic comparative study of computational methods for HLA typing from next-generation sequencing, Zhuo Wang*, 2021
• Genome-Scale Metabolic Model of Actinosynnema pretiosum ATCC 31280 and Its Application for Ansamitocin P-3 Production Improvement, Zhuo Wang*, 2018
• Combining Inferred regulatory and mechanistic metabolic networks enhances phenotype prediction in yeast, Zhuo Wang*, 2017
• Multi-scale analysis of Arabidopsis response to different CO2 conditions: from gene expression to metabolic flux, Zhuo Wang*, 2015