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Hi, I'm Sunjae! 👋 안녕하세요, 저는 이선재입니다. 🤗

I'm headed to Columbia this fall to start an M.S./Ph.D. in Applied Physics — plasma physics, specifically. Before that, a B.S. in Computer Science & Engineering and Physics at Seoul National University (2021–2026).

I work on magnetic-confinement fusion: why tokamak plasmas fall apart, and the software that makes studying them reproducible. These days that means kinetic MHD stability of oddly-shaped plasmas, and a fair amount of database plumbing.

🚀 What I've built and am building

🔬 VAFT

VEST Data Analysis Platform

Analysis toolkit for VEST, SNU's spherical tokamak — and the data platform around it. Diagnostics land in an OMAS-HSDS database, and from there the modelling runs itself: EFIT/CHEASE equilibria and DCON/RDCON stability, automated across the shot archive. Running it end to end turned up something I liked — VEST tends to be limited by current-driven instabilities rather than by pressure.

🌀 GPEC reconstruction

Normal effective current for Q vs C

Energy-principle decomposition inside the General Perturbed Equilibrium CodeFortran · Julia. A tokamak holds plasma on nested magnetic surfaces, and the field is supposed to stay on them. Measure a wobbling plasma the obvious way and the field looks like it leaks straight out through the surface — which would be alarming, if it were real. It isn't: you measured on the surface the plasma used to have. The effective field C = δB + (ξ·n̂)(μ₀j×n̂) is that same field read off the surface the plasma actually moved to, and the leak drops by nine orders of magnitude.

🏎️ F1Apex

F1Apex streamlines

[Not fully implemented!]CFD-backed F1 front wing aerodynamics — parametric geometry, OpenFOAM RANS, and an interactive aero map. Turns out tokamaks aren't the only thing where the shape decides whether it works.

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