Kengo Sato

Kengo Sato

Assistant Professor of Bioinformatics

Keio University, Japan

Biography

Kengo Sato is an assistant professor at the department of Biosciences and Informatics at Keio University, Japan. He received his Ph.D. in Computer Science from Keio University, Japan, in 2003. His research interests include bioinformatics, machine learning and life sciences. He develops innovative algorithms for sequence analysis and RNA informatics.

Interests
  • RNA Informatics
  • Sequence Analysis
  • Bioinformatics
  • Machine Learning
  • Life Sciences
Education
  • PhD in Computer Science, 2003

    Keio University

  • MEng in Computer Science, 1997

    Keio University

  • BSc in Mathematics, 1995

    Keio University

Experience

 
 
 
 
 
Assistant Professor
Apr 2011 – Present Yokohama, Japan
Department of Biosciences and Informatics
 
 
 
 
 
Project Assistant Professor
Nov 2009 – Mar 2011 Chiba, Japan
Department of Computational Biology, Graduate School of Frontier Sciences
 
 
 
 
 
Visiting Researcher
Apr 2006 – Mar 2015 Tokyo, Japan
Computational Biology Research Center (CBRC)
 
 
 
 
 
Research Scientist
Apr 2006 – Oct 2009 Tokyo, Japan
 
 
 
 
 
Research Associate
Apr 2003 – Mar 2006 Yokohama, Japan
Department of Biosciences and Informatics

Recent Publications

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(2020). An improved de novo genome assembly of the common marmoset genome yields improved contiguity and increased mapping rates of sequence data. BMC Genomics.

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(2019). Efficient generation of Knock-in/Knock-out marmoset embryo via CRISPR/Cas9 gene editing. Sci. Rep..

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(2018). A max-margin training of RNA secondary structure prediction integrated with the thermodynamic model. J. Bioinform. Comput. Biol..

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(2018). Convolutional neural network based on SMILES representation of compounds for detecting chemical motif. BMC Bioinformatics.

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