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Achievement: Arctic Code Vault Contributor

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Achievement: Arctic Code Vault Contributor

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@SmartAQnet

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PTremper/README.md

Hi, I'm Paul

Research engineer with a background in theoretical physics and applied machine learning for physical and spatiotemporal systems.

My work focuses on combining machine learning, sensor data, and scientific computing to better understand and model complex real-world processes.

Research & Engineering Interests

  • Scientific machine learning
  • Statistical modeling and probabilistic inference
  • Spatiotemporal data analysis and forecasting
  • Uncertainty-aware prediction
  • Data-driven surrogate modeling for complex real-world systems

Technical Stack

Scientific Computing

Python • PyTorch • Scikit-learn • NumPy • Pandas

Machine Learning & Statistical Methods

Gaussian Processes • Neural Networks • Statistical Modeling • Regression Methods • Surrogate Modelling

Visualization & Web

Matplotlib • JavaScript • HTML/CSS

Background

  • PhD in Theoretical Physics
  • 6+ years working in interdisciplinary applied research projects
  • Experience collaborating with academia and industry
  • Focus on ML for physical and complex real-world systems

Current Focus

  • Refining and publishing previous scientific machine learning projects
  • Building educational research-oriented repositories
  • Exploring Rust for systems programming and scientific tooling

Pinned Loading

  1. lattice-boltzmann-2d lattice-boltzmann-2d Public

    A minimal, readable Lattice Boltzmann fluid simulation in NumPy and PyTorch with visualization scripts.

    Python

  2. fourier-neural-operators-2d fourier-neural-operators-2d Public

    A readable PyTorch implementation of Fourier Neural Operators for 2D fluid dynamics and flow timeseries prediction.

    Python

  3. brick-breaker-rs brick-breaker-rs Public

    A simple brick-breaker (Arkanoid-style) game written in Rust using macroquad. Built as a learning project for Rust fundamentals such as ownership, structs, etc.

    Rust

  4. machine_learning_from_scratch machine_learning_from_scratch Public

    Implementations of machine learning algorithms from scratch in Python (NumPy), created as a personal learning project.

    Python