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Axect (Tae-Geun Kim) · GitHub

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Axect/README.md

Hello, I'm Tae-Geun Kim 👋

🙋‍♂️ Introduce myself

👨‍🏫 Postdoctoral Researcher in Physics

🔬 Research Areas

  • AI for Science — neural operators, physics-informed deep learning, Hamiltonian learning
  • Dark matter physics — axion-like particles, primordial black holes, detectability studies
  • Scientific & High Performance Computing — numerical algorithms, Rust-based tools, parallel computing

💼 Portfolio

Peroxide

  • Comprehensive Rust numeric library for linear algebra, numerical analysis, statistics, and machine learning
  • Supports automatic differentiation, special functions, DataFrame, and BLAS/LAPACK integration
  • User-friendly syntax inspired by R, NumPy, and MATLAB

HyperbolicLR

  • Novel learning rate schedulers addressing the learning curve decoupling problem in deep learning
  • Epoch-insensitive design enables stable training across varying durations without retuning
  • Evaluated on image classification, time series prediction, and operator learning tasks with PyTorch

arXiv Explorer

  • Personal research assistant for arXiv — discover, organize, and annotate papers from the terminal
  • TF-IDF content similarity + category/keyword/recency scoring for personalized recommendations
  • Full TUI, AI summaries (Gemini/Claude/OpenAI/Ollama), reading lists, and export to Markdown/JSON/CSV

Puruspe

  • Pure Rust special functions library (gamma, beta, error functions) with zero dependencies
  • Lightweight implementation based on "Numerical Recipes" algorithms

Forger

  • Reinforcement Learning library in Rust with modular agents, environments, and policies
  • Includes Epsilon Greedy, Value Iteration, and Q-Learning implementations
More projects

PyTorch Template

  • Flexible PyTorch experiment template with YAML-based configuration
  • Supports multiple seeds, device selection, and LR scheduling for reproducible ML research

Radient

  • Rust automatic differentiation library using computational graphs
  • Forward/backward propagation with cached and non-cached gradient options

DeeLeMa

  • Deep learning network for mass and momentum estimation in high-energy collider events
  • Robust mass peak recovery under combinatoric uncertainties and detector smearing

📚 Publications

  • Tae-Geun Kim, Giorgio Comitini, Jonas Grage, Benjamin Joens, Marc Schreiber, Soumya Sen, Russell R P Senthamarai and Johanna Sörngård, Peroxide: A Batteries-Included Numerical Computing Library for Rust, J. Open Source Softw. 11, 10366 (2026)

  • Yongsoo Jho, Tae-Geun Kim, Jong-Chul Park, Seong Chan Park and Yeji Park, Primordial Black Holes as a Factory of Axions: Extragalactic Photons from Axions, Prog. Theor. Exp. Phys. ptag011, arXiv:2212.11977 (2026)

  • Taehyeun Kim, Tae-Geun Kim, Anouk Girard, Ilya Kolmanovsky, Learning Hamiltonian Dynamics with Bayesian Data Assimilation, arXiv:2501.18808 (2025)

  • Tae-Geun Kim, Seong Chan Park, Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?, arXiv:2410.20951 (2024)

  • Tae-Geun Kim, HyperbolicLR: Epoch insensitive learning rate scheduler, arXiv:2407.15200 (2024)

  • Chang Min Hyun, Tae-Geun Kim, and Kyounghun Lee, Unsupervised sequence-to-sequence learning for automatic signal quality assessment in multi-channel electrical impedance-based hemodynamic monitoring, CMPB 108079, arXiv:2305.09368 (2023)

  • Kayoung Ban, Dong Woo Kang, Tae-Geun Kim, Seong Chan Park and Yeji Park, DeeLeMa : Missing information search with Deep Learning for Mass estimation, Phys. Rev. Research 5, 043186, arXiv:2212.12836 (2022)

🔖 Skills

  • Primary Languages : Rust, Python, C++, Julia
  • Frameworks & Libraries
    • Numerical Computing: peroxide, numpy, scipy, pandas/polars, BLAS/LAPACK, eigen, mathematica
    • Machine Learning: PyTorch, JAX/Equinox/Optax, W&B, Optuna, Candle, TensorFlow, Scikit-Learn
    • Visualization: matplotlib, vegas, ggplot2, plotly
    • High Energy Physics: BlackHawk, GALPROP, MadGraph, ROOT
    • Quantum Computing: PennyLane, Qiskit, Cirq, RustQIP
    • Web: Django, Vue, Firebase, Hugo, Zola, Elm

Github contributions

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  1. Peroxide Peroxide Public

    Rust numeric library with high performance and friendly syntax

    Rust 724 44

  2. pytorch_template pytorch_template Public template

    AI-agent-friendly PyTorch research pipeline — one YAML config drives preflight, training, Optuna HPO, and real-time TUI monitoring

    Python 10 1

  3. puruspe puruspe Public

    PURe RUSt SPEcial function library

    Rust 29 12

  4. Neural_Hamilton Neural_Hamilton Public

    Official implementation of the paper "Neural Hamilton: Can A.I. Understand Hamiltonian Mechanics?"

    Python 14

  5. magi-researchers magi-researchers Public

    Three AI models, one synthesis — Claude, Gemini & Codex cross-verify each other for rigorous multi-perspective research

    Python 13 1

  6. arXiv_explorer arXiv_explorer Public

    Personalized arXiv paper recommendation and management system

    Python 8

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