physics × computer science

Undergrad Student Researcher

I've built pipelines for material research, including data extraction and model training. Currently learning how to optimize crystal structure–property predictions (ferroelectrics) using machine learning - with the goal of accelerating material research.

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FocusMaterials Research · Model Training
ToolsPython · CGCNN · Linux
Open toWork · Research

Featured projects

Ferroelectric Materials Property Prediction (CGCNN)

Automated data extraction from papers and trained CGCNN models on the resulting dataset.

  • Python
  • FastAPI
  • Pandas
  • CGCNN
GitHub → Poster →

AI Assistant (Desktop)

FastAPI backend + HTML/JS front-end with KaTeX/Markdown; Arch + Hyprland integration.

  • FastAPI
  • HTML/JS
  • Linux
  • Hyprland
GitHub →

Research

Exploring structure–property relationships in ferroelectrics and building robust LLM-assisted extraction pipelines for materials datasets.

Open to work and research collaborations.

About

Skills

  • Python
  • Rust
  • FastAPI
  • Linux
  • Git
  • CUDA

Currently learning

  • Actix
  • Model deployment
  • Data visualization

Contact

Best way to reach me is email.

mail@ianmoog.com