Machine Learning

• ML Classification (Natural Language Processing & Computer Vision)

• ML Optimization (Reinforcement Learning, Bayesian Optimization, Convex Optimization, Bandit Problems)

• ML Theory (Convergence Theory, Implicit Bias, Edge of Stability)

Programming Languages

• C, C++, Python

• Torch, Tensorflow, Ray, Jax

Mathematics

• Harmonic Analysis, Functional Analysis

• Convex Optimization, Optimization Theory

• Probability Theory, Statistics

• Linear Algebra, Calculus, Graph Theory

• Partial Differential Equations for

  • Fluid Dynamics (e.g., the Navier-Stokes Equations, Magneto-Hydrodynamics equations)

  • Quantum Mechanics (e.g., the Schrodinger Equations, Ginzburg-Landau Equations)

  • General Relativity (e.g., the Einstein Field Equations)

Language

• English (Professional)

• Japanese (Intermediate)

• Korean (Native)