Professor | Ruixin Zhu | Asia Growth Partners

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Name	Ruixin Zhu
Contact Information	rxzhu@tongji.edu.cn
Language ability	Chinese, English
Province	Shanghai

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Name

Ruixin Zhu

Contact Information

rxzhu@tongji.edu.cn

Language ability

Chinese, English

Province

Shanghai

University/Lab Affiliation and Title	Tongji University
Faculty	Life Sciences
Academic Background & Achievements	2001 - Bachelor of Chemistry, Lanzhou University 2007 - PhD in Computational Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences Published the first undergraduate textbook on Computer-Aided Drug Design in China
Work Experience	2007-2008 - Shanghai Center for Bioinformation Technology, Researcher 2008-Present - School of Life Sciences and Technology, Tongji University, Professor
Awards	2022 - Included in 'Top 100 International Cooperation Papers of Tongji University 2021' 2019 - Outstanding Doctoral Dissertation Supervisor, Tongji University 2017 - Annual Outstanding Research Worker, School of Life Sciences and Technology, Tongji University

University/Lab Affiliation and Title

Tongji University

Faculty

Life Sciences

Academic Background & Achievements

2001 - Bachelor of Chemistry, Lanzhou University
2007 - PhD in Computational Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences
Published the first undergraduate textbook on Computer-Aided Drug Design in China

Work Experience

2007-2008 - Shanghai Center for Bioinformation Technology, Researcher
2008-Present - School of Life Sciences and Technology, Tongji University, Professor

Awards

2022 - Included in 'Top 100 International Cooperation Papers of Tongji University 2021'
2019 - Outstanding Doctoral Dissertation Supervisor, Tongji University
2017 - Annual Outstanding Research Worker, School of Life Sciences and Technology, Tongji University

Areas of Focus	Artificial Intelligence and Drug Design Artificial Intelligence and Microbiome Data-Intensive Research Algorithms and Platform Development
Publications	Enhanced microbiota profiling in patients with quiescent Crohn's disease through comparison with paired healthy first-degree relatives, Ruixin Zhu et al., 2024 The search for authentic microbiome–disease relationships, Ruixin Zhu et al., 2024 Identification and validation of microbial biomarkers from cross-cohort datasets using xMarkerFinder, Ruixin Zhu et al., 2024 Integrative multi-omics deciphers the spatial characteristics of host-gut microbiota interactions in Crohn’s disease, Ruixin Zhu et al., 2023 Targeting Keystone Species Helps Restore the Dysbiosis of Butyrate‐Producing Bacteria in Nonalcoholic Fatty Liver Disease, Ruixin Zhu et al., 2022 Multi-kingdom microbiota analyses identify bacterial-fungal interactions and biomarkers of colorectal cancer across cohorts, Ruixin Zhu et al., 2022 Identification of microbial markers across populations in early detection of colorectal cancer, Ruixin Zhu et al., 2021 Phylogenetic analyses with systematic taxon sampling show that mitochondria branch within Alphaproteobacteria, Ruixin Zhu et al., 2020 Suppressed hepatic bile acid signalling despite elevated production of primary and secondary bile acids in NAFLD, Ruixin Zhu et al., 2018

Areas of Focus

Artificial Intelligence and Drug Design
Artificial Intelligence and Microbiome
Data-Intensive Research Algorithms and Platform Development

Publications

Enhanced microbiota profiling in patients with quiescent Crohn's disease through comparison with paired healthy first-degree relatives, Ruixin Zhu et al., 2024
The search for authentic microbiome–disease relationships, Ruixin Zhu et al., 2024
Identification and validation of microbial biomarkers from cross-cohort datasets using xMarkerFinder, Ruixin Zhu et al., 2024
Integrative multi-omics deciphers the spatial characteristics of host-gut microbiota interactions in Crohn’s disease, Ruixin Zhu et al., 2023
Targeting Keystone Species Helps Restore the Dysbiosis of Butyrate‐Producing Bacteria in Nonalcoholic Fatty Liver Disease, Ruixin Zhu et al., 2022
Multi-kingdom microbiota analyses identify bacterial-fungal interactions and biomarkers of colorectal cancer across cohorts, Ruixin Zhu et al., 2022
Identification of microbial markers across populations in early detection of colorectal cancer, Ruixin Zhu et al., 2021
Phylogenetic analyses with systematic taxon sampling show that mitochondria branch within Alphaproteobacteria, Ruixin Zhu et al., 2020
Suppressed hepatic bile acid signalling despite elevated production of primary and secondary bile acids in NAFLD, Ruixin Zhu et al., 2018

Ai Drug Design Non-Alcoholic Fatty Liver Inflammatory Bowel Disease Drug Screening Microbiome Non-Invasive Diagnostics Host-Microbe Interaction Synthetic Biology Data-Driven Research

Qi Liu - Tongji University

Dong-Qing Wei - Shanghai Jiao Tong University

Zhi John Lu - Tsinghua University

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