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Achievement: Arctic Code Vault Contributor

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@Middsense

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abigailstone/README.md

Hi, I'm Abigail 👋

I'm currently a Ph.D. candidate at Tufts University, studying computer vision and machine learning. My most recent research projects have dealt with volume estimation for nutrition logging systems and deep learning algorithms for hyperspectral imaging systems.

As an engineer, I'm passionate about building tools that help both people and the planet. My favorite projects in both my professional life and my personal tinkering have involved some combination of data science, computer vision, and geographic information systems (GIS). I'm constantly looking for ways to build my skills in each facet of that little nerd-ecosystem.

Tools
Things I use every day 👩‍💻 Python PyTorch OpenCV NumPy Pandas
Other things I'm good at 🛠️ C++ R TensorFlow scikit-learn
Things I'm learning 🌱 Julia Flask

How to find me:
LinkedIn - Website - Email

Pinned Loading

  1. Hyperspectral-Zoo Public

    Playing with deep learning models for hyperspectral imagery

    Python

  2. data-viz Public

    Some links to my data science-adjacent work

    Jupyter Notebook

  3. Parallel-Matrices Public

    Matrix multiplication and 2D convolution from scratch with CUDA

    Cuda

  4. optimal-big-day Public

    R

abigailstone (Abigail Stone) · GitHub
Skip to content
View abigailstone's full-sized avatar
4 followers · 3 following

Achievements

Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Arctic Code Vault Contributor

Organizations

@Middsense

Block or report abigailstone

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abigailstone/README.md

Hi, I'm Abigail 👋

I'm currently a Ph.D. candidate at Tufts University, studying computer vision and machine learning. My most recent research projects have dealt with volume estimation for nutrition logging systems and deep learning algorithms for hyperspectral imaging systems.

As an engineer, I'm passionate about building tools that help both people and the planet. My favorite projects in both my professional life and my personal tinkering have involved some combination of data science, computer vision, and geographic information systems (GIS). I'm constantly looking for ways to build my skills in each facet of that little nerd-ecosystem.

Tools
Things I use every day 👩‍💻 Python PyTorch OpenCV NumPy Pandas
Other things I'm good at 🛠️ C++ R TensorFlow scikit-learn
Things I'm learning 🌱 Julia Flask

How to find me:
LinkedIn - Website - Email

Pinned Loading

  1. Hyperspectral-Zoo Public

    Playing with deep learning models for hyperspectral imagery

    Python

  2. data-viz Public

    Some links to my data science-adjacent work

    Jupyter Notebook

  3. Parallel-Matrices Public

    Matrix multiplication and 2D convolution from scratch with CUDA

    Cuda

  4. optimal-big-day Public

    R