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Qiangfeng Cliff Zhang
Life Science
Tsinghua University
Beijing
Language: English, Chinese
Contact
Ai Life Sciences Structural Biology Genomics Rna Single-Cell Cryo-Em Protein Modeling Algorithm Development Biomedical Data
Areas of Focus
  • Artificial Intelligence in Life Sciences
  • Structural Biology
  • Genomics
  • RNA Biology
  • Single-cell Genomics
  • Cryo-EM Protein Structure Modeling
  • AI Algorithm Development for Biomedical Data
Work Experience
  • 2011-2012 Postdoctoral Researcher at Center for Computational Biology and Bioinformatics, Columbia University
  • 2012-2015 Postdoctoral Researcher at Stanford University School of Medicine
  • 2015-2018 Assistant Professor at Tsinghua University School of Life Sciences
  • 2018-Present Associate Professor at Tsinghua University School of Life Sciences
Academic Background & Achievements
  • 1996-2000 Bachelor: University of Science and Technology of China
  • 2000-2006 PhD in Computer Science: University of Science and Technology of China
  • 2006-2011 PhD in Biochemistry and Molecular Biophysics: Columbia University
Publications
  • Computational prediction and experimental validation identify functionally conserved lncRNAs from zebrafish to human, Qiangfeng Cliff Zhang et al.
  • Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space, Qiangfeng Cliff Zhang et al.
  • Comparison of viral RNA-host protein interactomes across pathogenic RNA viruses informs rapid antiviral drug discovery for SARS-CoV-2, Qiangfeng Cliff Zhang et al.
  • A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments, Qiangfeng Cliff Zhang et al.
  • RNA structure probing reveals the structural basis of Dicer binding and cleavage, Qiangfeng Cliff Zhang et al.
  • In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs, Qiangfeng Cliff Zhang et al.
  • Predicting dynamic cellular protein-RNA interactions by deep learning using in vivo RNA structures, Qiangfeng Cliff Zhang et al.
  • Keth-seq for transcriptome-wide RNA structure mapping, Qiangfeng Cliff Zhang et al.
  • SCALE method for single-cell ATAC-seq analysis via latent feature extraction, Qiangfeng Cliff Zhang et al.
  • RNA structure maps across mammalian cellular compartments, Qiangfeng Cliff Zhang et al.
  • A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes, Qiangfeng Cliff Zhang et al.
  • Integrative Analysis of Zika Virus Genome RNA Structure Reveals Critical Determinants of Viral Infectivity, Qiangfeng Cliff Zhang et al.
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