Education

• Yonsei University Seoul, South Korea

  B.S. in Physics and Intelligent Semiconductor Technology (Double Major)

  Mar 2022 – Present

  Relevant coursework: Quantum Mechanics, Electromagnetics, Materials Science, Intelligent Semiconductor Systems, Machine Learning, Deep Learning, Quantum Machine Learning, Statistical Mechanics, Thermodynamics, and Linear Algebra

Research Interests

Experience

• SK hynix Ambassador Mar 2026 – Present

  Create multiple semiconductor-focused social media contents communicating SK hynix’s technologies, corporate vision, and industry insights from a student perspective.

  Appear in ambassador content for the SK hynix YouTube channel, including an AI semiconductor masterclass featuring Prof. Changhwan Shin of Korea University.

  Film job-introduction and on-site content by visiting SK hynix campuses with fabrication facilities, observing workplace environments, and introducing semiconductor roles through field-based experiences.

  Participate in a monthly ambassador program featuring semiconductor and AI trend lectures, networking with industry professionals, and other professional development sessions.
• Undergraduate Researcher Mar 2026 – Present

  Quantum Optics Lab, Yonsei University

  Advisor: Prof. Seongjin Hong

  Study and implement the active optical intensity interferometry framework presented in Active Optical Intensity Interferometry (Phys. Rev. Lett., 2025).

  Develop simulation code and perform data processing and analysis for correlation-based image reconstruction in optical interferometry.

  Participate in optical experiments to test and reproduce interferometric imaging schemes for long-baseline, high-resolution sensing.
• Signals Intelligence (SIGINT) Specialist Aug 2024 - Feb 2026

  Republic of Korea Army

  Squad Leader
• Undergraduate Researcher Jan 2024 – Jun 2024

  Quantum Information Theory Lab, Yonsei University

  Advisor: Prof. Kyungsun Moon

  Studied the theoretical foundations of quantum machine learning through the textbook Machine Learning with Quantum Computers and prepared presentation slides for lab seminars.

  Read and reviewed Supervised Learning with Quantum-Enhanced Feature Spaces (Nature, 2019), with a focus on quantum feature maps, kernel estimation, and classification with support vector machines.

  Presented and discussed core concepts in quantum-enhanced supervised learning during lab meetings.

Certifications

• ADsP (Advanced Data Analytics Semi-Professional) 2025
• Computer Literacy Level 2 2025
• SQLD (SQL Developer) 2023

Awards and Scholarships

• Military Honor Family Designation (병역명문가) 2026

  Recognized as a distinguished military family for three consecutive generations of honorable active-duty service.
• KC Scholarship Foundation 2024

  Scholarship for Outstanding STEM Talent
• 5th Place 2023

  DB GAPS Investment Competition
• Minister of Science and ICT Award (미래창조과학부 장관상) 2013

Activities

• RU:SH (Runners United : Sinchon) Feb 2026 – Present

  Running crew comprising students and alumni from Yonsei, Ewha, and Sogang Universities (article).
• QIYA Jan 2026 - Present

  Quantum Informatics at Yonsei Academy
• Completion of the 5th Quantum Information Science Winter School Jan 2026

  Organized by The Korean Physical Society (KPS) & Quantum Information Society of Korea (QISK)
• Kwang Mar 2023 - Present

  Crossfit Club, Yonsei University
• Gongsarang Mar 2022 - Dec 2022

  Basketball Club, Yonsei University