Professor | Guohui Chuai | Asia Growth Partners

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Name	Guohui Chuai
Contact Information	22219@tongji.edu.cn
Language ability	Chinese, English
Province	Shanghai

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Name

Guohui Chuai

Contact Information

22219@tongji.edu.cn

Language ability

Chinese, English

Province

Shanghai

University/Lab Affiliation and Title	Tongji University
Faculty	Life Sciences
Academic Background & Achievements	2014 - BEng in Bioinformatics from Tongji University 2019 - PhD in Biology from Tongji University Published 10 SCI papers, 6 as first or corresponding author Filed 1 patent, contributed to 1 book chapter
Work Experience	2019 - Present: Assistant Professor at School of Life Sciences and Technology, Tongji University 2019 - Postdoctoral Research at Biomedical Engineering, Tongji University
Awards	National Postdoctoral Program for Innovative Talents (2019) National Natural Science Foundation Youth Project (2022)

University/Lab Affiliation and Title

Tongji University

Faculty

Life Sciences

Academic Background & Achievements

2014 - BEng in Bioinformatics from Tongji University
2019 - PhD in Biology from Tongji University
Published 10 SCI papers, 6 as first or corresponding author
Filed 1 patent, contributed to 1 book chapter

Work Experience

2019 - Present: Assistant Professor at School of Life Sciences and Technology, Tongji University
2019 - Postdoctoral Research at Biomedical Engineering, Tongji University

Awards

National Postdoctoral Program for Innovative Talents (2019)
National Natural Science Foundation Youth Project (2022)

Areas of Focus	Gene diagnosis and therapy technology development and optimization Gene editing system optimization Bioinformatics algorithm development Artificial intelligence algorithm development
Publications	DeepCRISPR: optimized CRISPR guide RNA design by deep learning, Chuai G, Ma H, Yan J, et al., 2018 In Silico Meets In Vivo: Towards Computational CRISPR-Based sgRNA Design, Chuai G, Wang Q, Liu Q, 2017 Deciphering relationship between microhomology and in-frame mutation occurrence in human CRISPR-based gene knockout, Chuai G, Yang F, Yan J, et al., 2016 Benchmarking CRISPR on-target sgRNA design, Yan J, Chuai G, Zhou C, et al., 2018 MetaTopics: an integration tool to analyze microbial community profile by topic model, Yan J, Chuai G, Qi T, et al., 2017 Data imbalance in CRISPR off-target prediction, Gao Y, Chuai G, Yu W, et al., 2020 Benchmarking and integrating genome-wide CRISPR off-target detection and prediction, Yan J, Xue D, Chuai G, et al., 2020 Learning for single-cell assignment, Duan B, Zhu C, Chuai G, et al., 2020 DeepReac+: deep active learning for quantitative modeling of organic chemical reactions, Gong Y, Xue D, Chuai G, et al., 2021 FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery, Chen S, Xue D, Chuai G, et al., 2021

Areas of Focus

Gene diagnosis and therapy technology development and optimization
Gene editing system optimization
Bioinformatics algorithm development
Artificial intelligence algorithm development

Publications

DeepCRISPR: optimized CRISPR guide RNA design by deep learning, Chuai G, Ma H, Yan J, et al., 2018
In Silico Meets In Vivo: Towards Computational CRISPR-Based sgRNA Design, Chuai G, Wang Q, Liu Q, 2017
Deciphering relationship between microhomology and in-frame mutation occurrence in human CRISPR-based gene knockout, Chuai G, Yang F, Yan J, et al., 2016
Benchmarking CRISPR on-target sgRNA design, Yan J, Chuai G, Zhou C, et al., 2018
MetaTopics: an integration tool to analyze microbial community profile by topic model, Yan J, Chuai G, Qi T, et al., 2017
Data imbalance in CRISPR off-target prediction, Gao Y, Chuai G, Yu W, et al., 2020
Benchmarking and integrating genome-wide CRISPR off-target detection and prediction, Yan J, Xue D, Chuai G, et al., 2020
Learning for single-cell assignment, Duan B, Zhu C, Chuai G, et al., 2020
DeepReac+: deep active learning for quantitative modeling of organic chemical reactions, Gong Y, Xue D, Chuai G, et al., 2021
FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery, Chen S, Xue D, Chuai G, et al., 2021

Gene Therapy Crispr Bioinformatics Deep Learning Algorithm Development Gene Editing Crispr-Cas13 Sgrna Design Computational Biology Artificial Intelligence

Yong Zhang - Tongji University

Xiaocui Xu - Tongji University

Yanping Zhang - Tongji University

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