Undergraduate Researcher · Quantum ML & Finance

Mingyu Lee

Seoul, Korea

Last updated: Feb 2026

Education

  • Seoul National University

    B.Sc. in Computer Science and Engineering; Double major in Mathematical Sciences

    Mar 2021 — Present Seoul, Korea
    • GPA: 4.05/4.30, Major GPA: 4.05/4.30
  • Gyeonggi Science High School for the Gifted

    Computer Science

    Mar 2018 — Feb 2021 Suwon, Korea

Research Experience

  • Research Institute of Mathematics, Seoul National University

    Undergraduate Researcher

    Jul 2022 — Present Seoul, Korea
    • Exploring quantum machine learning and quantum generative models, adapting techniques from classical neural networks.

Work Experience

  • Republic of Korea Air Force

    Mandatory Military Service

    Feb 2024 — Nov 2025 Pyeongtaek-si, Gyeonggi-do, Korea
  • NCSOFT

    Research Intern

    Jul 2023 — Aug 2023 Seongnam-si, Gyeonggi-do, Korea
    • Developed an AI-based exchange traded fund (ETF) management system.
  • Seoul National University

    Teaching Assistant

    Mar 2022 — Jun 2022 Seoul, Korea
    • Teaching assistant for discrete mathematics.
  • Rainbow Brain, Inc.

    Internship

    Jan 2022 — Mar 2022 Seoul, Korea
    • Collected e-commerce data and provided analysis.

Awards & Achievements

  • 2025 ICPC Seoul Regional

    Bronze prize (8th); President’s Award of NIA

    Nov 2025
  • 2023 ICPC Seoul Regional

    Encouragement prize (14th); Director's award of NIA

    Nov 2023
  • 2023 UCPC Final Round

    7th place

    Jul 2023
  • 2023 Quantum Hackathon Korea

    1st place; Ministry of Science and ICT Minister's Award

    Jun 2023
  • WorldQuant Brain

    Research consultant

    Apr 2023
  • QHack

    Certificate of achievement (advanced)

    Feb 2023
  • Xanadu QHack Coding Challenges

    Power-Up Awards (IBM Quantum/PINQ2, NVIDIA/Cyxtera/Run:AI)

    Feb 2023
  • Samsung Collegiate Programming Cup (SCPC)

    5th prize

    Sep 2022
  • Samsung Humantech Paper Award

    Bronze prize for “Improving Performance of Pyramid CNN used in Image Deblurring (2020)”

    Jul 2021

Honors

  • Korea–U.S. Advanced Industries Youth Exchange Scholarship, 4th Cohort

    Nov 2025 — Present
  • Seoul National University Semiconductor Characterization College Scholarship

    Feb 2024 — Present
  • Young Engineers Honor Society (YEHS), The National Academy of Engineering of Korea

    Nov 2023 — Present
  • Samsung Software Membership

    Oct 2022 — Present
  • The Presidential Science Scholarship (Computer Science)

    Mar 2022 — Present

Publications

  • Scientific Reports

    Mutual information maximizing quantum generative adversarial networks

    2025
    • Authors: M. Lee, M. Shin, J. Lee, K. Jeong. Scientific Reports 15(1), 32835.
  • Physical Review A

    Disentangling quantum neural networks for unified estimation of quantum entropies and distance measures

    2024
    • Authors: M. Shin, S. Lee, J. Lee, M. Lee, D. Ji, H. Yeo, K. Jeong. Physical Review A 110, 062418.
  • Preprint

    Improving Performance of Pyramid CNN used in Image Deblurring

    2020
    • Author: Mingyu Lee.

Contributed Talks

  • 2nd CQNC Winter Kick-off Workshop

    Mutual Information Maximizing Quantum Generative Adversarial Network and Its Applications (Speaker)

    Dec 2023
  • KSIAM 2023 Annual Meeting

    Mutual Information Maximizing Quantum Generative Adversarial Network and Its Applications (Speaker)

    Nov 2023
  • Korean Institute of Industrial Engineers Autumn Annual Conference

    Proposing a Transformer-based ETF portfolio for liquidity providers (Co-author)

    Nov 2023
  • 1st CQNC Winter Kick-off Workshop

    Introduction to Shadow Tomography and Its Application (Speaker)

    Jan 2023

Invited Talks

  • Quantum FinTech Webinars Series, Rethinc. Labs, UNC Kenan-Flagler Business School

    Mutual Information Maximizing Quantum Generative Adversarial Network and Its Applications in Finance (Speaker)

    Nov 2023

Poster Presentations

  • 27th Annual Conference on Quantum Information Processing (QIP 2024)

    Mutual Information Maximizing Quantum Generative Adversarial Network and Its Applications

    2024

Skills & Qualifications

  • Programming

    Advanced

    • C/C++, Python
  • Programming

    Basic

    • MATLAB, TypeScript/JavaScript, Java, R
  • Algorithms & Problem Solving

    • {"Codeforces Master (rating 2177, max 2279) — handle"=>"red1108"}
    • {"AtCoder 1 Kyu (rating 1915, max 1929) — handle"=>"red1108"}

Interests

  • Quantum computation and quantum information

  • Quantitative research and trading

  • Machine learning and its applications