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Ying Zhu
Brain Science Research Institute
Fudan University
Shanghai
Language: English, Chinese
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Gene Decoding Computational Biology Brain Development Evolution Diseases Bioinformatics High-Throughput Sequencing Computational Modeling Biological Systems Neurobiology
Areas of Focus
  • Gene decoding and computational biology related to brain development, evolution, and diseases
  • Development of bioinformatics methods for high-throughput sequencing data; computational modeling of complex biological systems
Work Experience
  • 2014-2017 - Postdoctoral Research: Yale University, Department of Biostatistics and Neurobiology
  • 2017-2019 - Associate Research Scientist: Yale University
  • 2019-present - Researcher: Fudan University, Institute of Brain Science
Academic Background & Achievements
  • 2008 - Bachelor's degree in Biology: Tsinghua University
  • 2014 - Ph.D. in Neurobiology: Yale University
Publications
  • Pianno: a probabilistic framework automating semantic annotation for spatial transcriptomics, Zhou Y, He W, Hou WZ, Zhu Y, 2024
  • CellGO: a novel deep learning-based framework and webserver for cell-type-specific gene function interpretation, Li P, Wei J, Zhu Y, 2023
  • MvPPT: a highly efficient and sensitive pathogenicity prediction tool for missense variants, Tong SY, Fan K, Zhou ZW, Liu LY, Zhang SQ, Fu Y, Wang GZ, Zhu Y, Yu YC, 2022
  • Spatio-temporal transcriptomic divergence across human and macaque brain development, Zhu Y, Sousa AMM, Gao T, Skarica M, Li M, Santpere G, Esteller-Cucala P, Juan D, Ferrández-Peral L, Gulden FO, Yang M, Miller DJ, Marques-Bonet T, Kawasawa YI, Zhao H, Sestan N, 2018
  • Molecular and cellular reorganization of neural circuits in the human lineage, Sousa AMM, Zhu Y, Raghanti MA, Kitchen RR, Onorati M, Tebbenkamp ATN, Stutz B, Meyer KA, Li M, Kawasawa YI, Liu F, Perez RG, Mele M, Carvalho T, Skarica M, Gulden FO, Pletikos M, Shibata A, Stephenson AR, Edles MK, Ely JJ, Elsworth JD, Horvath TL, Hof PR, Mane SM, Noonan JP, State MW, Lein ES, Knowles JA, Marques-Bonet T, Sherwood CC, Gerstein MB, Sestan N, 2017
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