Yoonhak Nam

🛰️ Nuclear Astrophysics | 📈 Quantitative Researcher

yh.nam.stoic@gmail.com | yoonhak-nam

About Me

My name is Yoonhak Nam. I am a master’s student in physics at the Institute of Science Tokyo, working on nuclear astrophysics, with a particular focus on neutron star cooling. I am deeply fascinated by interdisciplinary problems at the intersection of physics and finance, where physical intuition, statistical reasoning, and data-driven modeling come together. I mainly use Fortran and Python in my research, and I am currently studying C++ and Rust, while maintaining broad curiosity across diverse scientific and technical fields.

Experience

Matsuo Institute, Inc. - Quantitative Research Intern 10.2024 - 06.2025
  • Developed Python-based tools for backtesting and evaluation of the Commodity Trading Advisor (CTA) team’s strategies; successfully deployed in May 2025 (AUM: 10M JPY).
  • Implemented trading algorithms and quantitative analysis methods from academic research papers and financial literature for practical application
  • Developed a $25,000-equivalent database using web scraping and publicly available datasets for the team

Publications

Y. Nam, K. Sekizawa. "Vortex creep heating in neutron star cooling with direct Urca processes in heavy neutron stars." arXiv:2511.13263. 2025.
Y. Nam, K. Sekizawa. "Vortex Creep Heating in Neutron Star Cooling: New Insights into Thermal Evolution of Heavy Neutron Stars." Proceedings of the 29th International Nuclear Physics Conference (INPC2025). 2025.
Y. Nam, K. Sekizawa. "Data-driven exploration of the neutron $^3\text{P}_2$ pairing gap using Cassiopeia A neutron star observational data." arXiv:2510.20353. 2025.

Awards

Award of Excellence

Global Consumer Intelligence (GCI) 2023 Winter - Feb. 2024
  • Awarded to top-performing participants of the University of Tokyo–hosted GCI program.
  • Completed Python-based machine learning projects, including a Kaggle-style competition and a data-driven business proposal.
  • Selected among the top 38 out of 2,424 participants (top 1.6%).