Professor | Qi Liu | Asia Growth Partners

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Name	Qi Liu
Contact Information	qiliu@tongji.edu.cn
Language ability	Chinese, English
Province	Shanghai

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Name

Qi Liu

Contact Information

qiliu@tongji.edu.cn

Language ability

Chinese, English

Province

Shanghai

University/Lab Affiliation and Title	Tongji University
Faculty	Life Sciences
Academic Background & Achievements	PhD: Not mentioned National Youth Talent Published books on omics and AI
Work Experience	Permanent Professor at Tongji University PI at Shanghai Autonomous Intelligent Unmanned Systems Science Center, Tongji University
Awards	Best of Trends Award F1000 Recommendation iGEM Best Software & AI Project Award

University/Lab Affiliation and Title

Tongji University

Faculty

Life Sciences

Academic Background & Achievements

PhD: Not mentioned
National Youth Talent
Published books on omics and AI

Work Experience

Permanent Professor at Tongji University
PI at Shanghai Autonomous Intelligent Unmanned Systems Science Center, Tongji University

Awards

Best of Trends Award
F1000 Recommendation
iGEM Best Software & AI Project Award

Areas of Focus	AI for Omics Precision Medicine Single-cell Omics Multi-modal Omics Perturbation Omics
Publications	Unified cross-modality integration and analysis of T-cell receptors and T-cell transcriptomes by low-resource-aware representation learning, Yicheng Gao et al., Qi Liu, 2024 Single- Cell Omics: experimental workflow, data analyses and applications, Fengying Sun et al., Qi Liu… ShiTie Liu, 2024 Multi-slice Spatial Transcriptome Domain Analysis with SpaDo, Bin Duan et al., Qi Liu, 2024 Personalized tumor combination therapy optimization using the single-cell transcriptome, Chen Tang et al., Qi Liu, 2023 Genome-wide CRISPR off-target prediction and optimization using RNA-DNA interaction fingerprints, Qichang Chen et al., Qi Liu, 2023

Areas of Focus

AI for Omics
Precision Medicine
Single-cell Omics
Multi-modal Omics
Perturbation Omics

Publications

Unified cross-modality integration and analysis of T-cell receptors and T-cell transcriptomes by low-resource-aware representation learning, Yicheng Gao et al., Qi Liu*, 2024
Single- Cell Omics: experimental workflow, data analyses and applications, Fengying Sun et al., Qi Liu*… ShiTie Liu*, 2024
Multi-slice Spatial Transcriptome Domain Analysis with SpaDo, Bin Duan et al., Qi Liu*, 2024
Personalized tumor combination therapy optimization using the single-cell transcriptome, Chen Tang et al., Qi Liu*, 2023
Genome-wide CRISPR off-target prediction and optimization using RNA-DNA interaction fingerprints, Qichang Chen et al., Qi Liu*, 2023

Artificial Intelligence Genomics Bioinformatics Precision Therapy Single-Cell Analysis Multi-Modal Integration Perturbation Studies Crispr Machine Learning Data-Driven Research

Yong Zhang - Tongji University

Lu Lu Gong - Tongji University

Guohui Chuai - Tongji University

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