Updated on 2022/05/22


ZHAO, Shitao
Faculty of Science and Engineering, Waseda Research Institute for Science and Engineering
Job title
Junior Researcher(Assistant Professor)


  • 2016.04

    The University of Tokyo   Graduate School of Agricultural and Life Sciences  

  • 2013.10

    Tokyo Institute of Technology   Interdisciplinary Graduate School of Science and Engineering  

Research Experience

  • 2020.04

    Waseda University   Faculty of Science and Engineering

  • 2019.06

    Waseda University   Faculty of Science and Engineering


Research Areas

  • Life, health and medical informatics   深層学習


  • Representation learning applications in biological sequence analysis

    Hitoshi Iuchi, Taro Matsutani, Keisuke Yamada, Natsuki Iwano, Shunsuke Sumi, Shion Hosoda, Shitao Zhao, Tsukasa Fukunaga, Michiaki Hamada


     View Summary

    <title>ABSTRACT</title>Remarkable advances in high-throughput sequencing have resulted in rapid data accumulation, and analyzing biological (DNA/RNA/protein) sequences to discover new insights in biology has become more critical and challenging. To tackle this issue, the application of natural language processing (NLP) to biological sequence analysis has received increased attention, because biological sequences are regarded as sentences and k-mers in these sequences as words. Embedding is an essential step in NLP, which converts words into vectors. This transformation is called representation learning and can be applied to biological sequences. Vectorized biological sequences can be used for function and structure estimation, or as inputs for other probabilistic models. Given the importance and growing trend in the application of representation learning in biology, here, we review the existing knowledge in representation learning for biological sequence analysis.


  • Silhouette Scores for Arbitrary Defined Groups in Gene Expression Data and Insights into Differential Expression Results

    Shitao Zhao, Jianqiang Sun, Kentaro Shimizu, Koji Kadota

    Biological Procedures Online   20 ( 1 )  2018.12

    Authorship:Lead author


  • Rapid detection of the neonicotinoid insecticide imidacloprid using a quenchbody assay

    Shitao Zhao, Jinhua Dong, Hee-Jin Jeong, Koichi Okumura, Hiroshi Ueda

    Analytical and Bioanalytical Chemistry   410 ( 17 ) 4219 - 4226  2018.07

    Authorship:Lead author



  • Fast and sensitive detection of a neonicotinoid insecticide imidacloprid with a reagentless immunoassay reagent Quenchbody

    Jinhua Dong, Shitao Zhao, Hee-Jin Jeong, Koichi Okumura, Hiroshi Ueda

    The International Chemical Congress of Pacific Basin Societies 2015 (Pacifichem 2015) 

    Presentation date: 2015.12