Daniel Kyungdeock Park / 박경덕

Education

• Ph. D. in Physics & Quantum Information, Institute for Quantum Computing & University of Waterloo (2015)

- Supervisors: Prof. Raymond Laflamme & Prof. Jonathan Baugh

• B. Sc. in Mathematical Physics, University of Waterloo (2010)

Relevant Positions

• 03/2025 - Present: Associate Professor, Department of Applied Statistics / Statistics and Data Science, Yonsei University

• 03/2024 - Present: Vice Director, Institute of Quantum Information Technology, Yonsei University

• 03/2022 - 02/2025 : Assistant Professor, Department of Applied Statistics / Statistics and Data Science, Yonsei University

• 02/2021 - 02/2022 : Research Professor, Sungkyunkwan University Advanced Institute of Nanotechnology (SAINT)

• 09/2018 - 02/2021 : Research Assistant Professor, School of Electrical Engineering, KAIST

• 12/2015 - 08/2018 : Post-doctoral Researcher, Department of Physics, KAIST (alternative to the national army service)

• 09/2007 - 04/2008: Automation Developler, Apple Inc. (co-op)

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

Academic Services

• Guest editor of Quantum Machine Intelligence (Springer Nature) Special Issue on Quantum and Quantum-inspired Machine Learning: from foundations to theoretical advances.

• Conferences:

- 2025 ICSE - 6th International Workshop on Quantum Software Engineering (Q-SE 2025): Program committee.

- 2024 Annual Meeting of the Quantum Information Society of Korea: Program committee.

- Asian Quantum Information Science Conference (AQIS) 2023, 2024: Program committee.

- Quantum Techniques in Machine Learning 2022, 2020: Program committee.

- South African Conference on AI Reseasrch 2021: Topic chair on quantum machine learning.

-The International Joint Conference on Neural Networks 2021, Special Session on Machine learning in Noisy Intermediate-Scale Quantum devices: Organizer.

- 2020 KAIST Symposium on Quantum Machine Learning: Organizer.

- COOC 2020, Quantum Information: Session Chair.

- Quantum Techniques in Machine Learning 2019: Local organizer.

- APS March Meeting, Quantum Machine Learning I: Session chair.

• Peer review: 
  Nature Communications • npj Quantum Information • Quantum Science and Technology • Quantum Information Processing • Journal of Physics A: Mathematical and Theoretical • Journal of the Korean Magnetics Society • Korean Journal of Optics and Photonics • Machine Learning: Science and Technology • IEEE Transactions on Neural Networks and Learning Systems • Quantum Machine Intelligence • Scientific Reports •SN Computer Science • Physica A: Statistical Mechanics and its Applications • Computer Networks • Computers and Operations Research

Outreach

• Mentorship:
  - Quantum Hackathon Korea 2021, 2022
  - Quantum Open Source Foundation (03/2021 - 09/2021)