Areas of Focus
- 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
Work Experience
- 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
Academic Background & Achievements
- 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
Publications
- 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
Awards
- 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
