Difference between revisions of "People:SG Ji"

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===Sun-Gou Ji===
 
===Sun-Gou Ji===
*'''M.S. Candidate''', Yonsei University, College of Life Science and Biotechnology, Department of Biotechnology (08/2009 - ).
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*'''M.S. in Biotechnology''', Yonsei University, College of Life Science and Biotechnology, Department of Biotechnology (09/2009 - 08/2011).
 
*'''B.Eng''', Yonsei University, School of Engineering, Department of Biotechnology (03/2002 - 08/2009).
 
*'''B.Eng''', Yonsei University, School of Engineering, Department of Biotechnology (03/2002 - 08/2009).
*'''Contact''': ji.sungou@gmail.com
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*'''Contact''': ji.sungou(at)gmail.com
  
 
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==Awards & Scholarships==
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*''Best Oral Presentation'', 4th Asian Young Researchers Conference on Computational and Omics Biolgy (AYRCOB)
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*''Kwanjeong Educational Foundation Scholarship'', Doctoral Scholarship
  
 
==Current Research Interests==
 
==Current Research Interests==
 
*Interpretation and prediction of phenotypic variation through diverse biological data mining and their integration.
 
*Interpretation and prediction of phenotypic variation through diverse biological data mining and their integration.
 
*Immunological crosstalk between two or more biological networks
 
*Immunological crosstalk between two or more biological networks
 
==Other Interests==
 
*Jiyeong Chun
 
*''Crossfit'' & Body-Building
 
*NBA Playoffs
 

Latest revision as of 16:23, 25 August 2011

People SG Ji.jpg

[edit] Sun-Gou Ji

  • M.S. in Biotechnology, Yonsei University, College of Life Science and Biotechnology, Department of Biotechnology (09/2009 - 08/2011).
  • B.Eng, Yonsei University, School of Engineering, Department of Biotechnology (03/2002 - 08/2009).
  • Contact: ji.sungou(at)gmail.com

[edit] Awards & Scholarships

  • Best Oral Presentation, 4th Asian Young Researchers Conference on Computational and Omics Biolgy (AYRCOB)
  • Kwanjeong Educational Foundation Scholarship, Doctoral Scholarship

[edit] Current Research Interests

  • Interpretation and prediction of phenotypic variation through diverse biological data mining and their integration.
  • Immunological crosstalk between two or more biological networks
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