Research professor


Daniel Kyungdeock Park

Research Professor

School of Electrical Engineering, KAIST, Republic of Korea



kpark10 at



  • University of Waterloo, Ph.D in Physics - Quantum Information (2015)

  • University of Waterloo, B.S in Mathematical Physics with Dean's Honour (2010)

Professional  Experience

  • Department of Physics, KAIST, Post-doc. (12/2015 - 08/2018)
    *alternative to the compulsory military service

  • Institute for Quantum Computing, Univ. of Waterloo, Research Assistant (09/2010 - 07/2015)

  • Department of Applied Mathematics, Univ. of Waterloo, Research Assistant/Co-op (09/2008 - 12/2008)

  • Apple Inc., Automation developer/Co-op (09/2007 - 04/2008)

  • Xerox Research Centre of Canada, Research Assistant/Co-op (01/2006 - 04/2006)

Short Bio.

Daniel joined School of Electrical Engineering in KAIST as a research assistant professor in 2018. His current research interest covers broad ranges of quantum computing with focus on quantum machine learning and quantum simulation. Daniel received BSc degree with Dean’s Honours in Mathematical Physics in 2010 from University of Waterloo, and completed PhD degree in Physics-Quantum Information in 2015 at Institute for Quantum Computing in University of Waterloo. His doctoral thesis was based on characterizing and optimizing quantum control of nuclear and electron spin qubits in organic molecules for quantum information processing, under the supervision of Raymond Laflamme and Jonathan Baugh. Prior to joining the School of Electrical Engineering, he was a post-doctoral researcher at Department of Physics in KAIST from 2015 to 2018, where he primarily worked on quantum information processing with spin qubits in doped silicon.