Student researcher · Gyeongnam Science High School
I explore how information, computation, and physical law constrain one another—from observer-dependent information in relativity to plasma turbulence and the foundations of intelligent systems.
About
My path began in theoretical physics: first with spacetime, then with nonlinear plasma dynamics, and increasingly with information itself. Across these subjects, I found the same instinct guiding me—to strip a problem down to the quantities an observer can actually know and ask what survives every valid change of description.
I now want to develop a physics of intelligent systems. Modern AI can be trained before it can be fully understood; I am interested in the information-theoretic and physical principles that might explain what representations are formed, what computation costs, and what makes a system reliable.
Selected research
These are independent research explorations and competition projects—not formal journal publications.
I constructed an axiomatic language in which one observer “reads” another observer’s spacetime information. By examining reciprocity, composition, world-line constraints, and information invariants, I explored how the Lorentz structure can emerge from relations between observations rather than being assumed at the outset.
Building on the Hahm–Burrell decorrelation picture, I introduced gyroaveraging through a Bessel-function factor to study how finite ion gyroradius modifies the critical shearing rate for edge-turbulence suppression. The project connected local fluctuation physics to the broader question of the L–H transition threshold.
I designed a non-electronic mechanism intended to compensate for the pressure decrease of an IV bag as its fluid level falls. The project evolved through vacuum, spring, and gravitational-feedback concepts, with sterility, adjustability, and changes in patient arm height treated as core design constraints.
Research lens
Clarify what information is physically available before choosing the mathematical description.
Use symmetry and conserved structure to distinguish essential physics from coordinate-dependent detail.
Return every formal result to a concrete process—measurement, transport, computation, or control.
Publications & recognition
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This section is intentionally left open.
Research conversations are welcome