M.S./Ph.D. Student
Staff
Group Photo
   Stephani Edwina Lucia
       - email :  stephanie@kaist.ac.kr

  • Education
          2014 - 2018                B.S. Engineering Physics, Bandung Institute of Technology (Indonesia)
          2019 - 2021                M.S. Department of Mechanical Engineering, KAIST
          2021 - present           Ph.D. Course in GSMSE, KAIST

  • Research Interest
          - Intravital imaging of pancreatic tumor
          - Tumorigenesis
          - High Endothelial Venules
          - Image processing using deep-learning


   Prajwal Walke
       - email : prajwal@kaist.ac.kr
   
  • Education
          2018 - 2023                B.S. Electronics and Instrumentation  BITS, Pilani, Goa Campus
          2018 - 2023                M.S. Biological sciences  BITS, Pilani, Goa Campus
          2023 -  present          Ph.D. Course in GSMSE, KAIST

  • Research Interest
          - Observing clonal competition in Intestinal Stem Sells using intravital Imaging in
             advanced genetic mouse models.
          - Image processing using deep-learning


Alumni
   Jieun Choi
       - email :  cje970@kaist.ac.kr

  • Education
          2015 - 2019               B.S. Department of Chemical and Biomolecular Engineering, KAIST      
          2021 -  present          M.S./Ph.D. Course in GSMSE, KAIST

  • Experience
          2019 - 2021               Samsung Biologics  

  • Research Interest
          - Intravital imaging of brain ischemic model
          - Image processing using deep-learning

   Haeun Kim
       - email : haeunkim@kaist.ac.kr
   
  • Education
          2008 - 2016                B.S. Department of Accounting, Chungnam University         

  • Experience
          2016 - present           IVMVL Administator, KAIST

   Yumi Byun
       - email :  yumibyun@kaist.ac.kr

  • Education
          2019 - 2023               B.S. Life Sciences, GIST
          2023 -  present         M.S./Ph.D. Course in GSMSE, KAIST

  • Research Interest
          - Intravital imaging of kidney disease modle
          - Image processing using deep-learning



In Vivo Micro-Visualization Laboratory
Graduate School of Medical Science and Engineering,  Korea Advanced Institute of Science and Technology (KAIST)
Rm.219, Basic Research Building (E6-6), 291 Daehak-ro, Yuseong, Daejeon,  34141, Republic of Korea
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In Vivo Micro-Visualization Laboratory

Graduate School of Medical Science and Engineering (GSMSE)
Korea Advanced Institute of Science and Technology (KAIST)
      Prof. Kim, Pilhan
  • Lucia, Stephani E.
  • Choi, Jieun
  • Byun, Yumi
  • Walke, Prajwal
  • Song, Eun Kyung
  • Kim, Haeun
  • Jeon, Yeonji
- KAIST, Spring 2024


   Yeonji Jeon
       - email : whiteghf@kaist.ac.kr

  • Education
          2010 - 2014                B.S. Department of Biotechnology, Dong-A University         

  • Experience
          2023 - present            IVMVL animal staff, KAIST

Choe, Kibaek (M.S./Ph.D.)
Hwang, Yoonha (M.S./Ph.D.)
Park, Inwon (M.D./Ph.D.)
Song, Eunjoo (M.S./Ph.D.)
Ahn, Jinhyo (M.S./Ph.D.)
Seo, Howon (M.S./Ph.D.)
Ahn, Soyeon (M.S./Ph.D.)
Moon, Jieun (M.S./Ph.D.)
Kong, Eunji (M.S./Ph.D.)
Hong, Sujung (M.S./Ph.D.)
Lee, Jingu
(Ph.D.)
Jeon, Jehwi (M.D./Ph.D.)
   Eun-Kyung Song
       - email : yaejin329@kaist.ac.kr
   
  • Education
          2020 - 2024                B.S. Software Convergence, Seoul Women's University
          2024 - present          M.S./Ph.D. Course in GSMSE, KAIST

  • Research Interest
          - Image processing using deep-learning