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hi, I'm Lucy 👋

🔭 I'm currently ...

  • an AHRC-funded PhD researcher at the University of Glasgow (Archaeology + Computing Science) and Historic Environment Scotland
  • researching the impacts of machine learning and computer vision on workflows for archaeological survey (aka finding archaeological objects in remote sensing data + in the field)

🌱 I'm learning ...

  • how to design + build machine learning systems

⚡ I'm looking to collaborate on ...

  • machine learning tools for archaeology and geospatial

📫 how to reach me ...

Lucy Killoran's Projects

arset_ml_fundamentals icon arset_ml_fundamentals

Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

friendly-collab-party icon friendly-collab-party

This repository is used for collaboration workshops developed by The Turing Way Community and The Alan Turing Institute.

fsdl-text-recognizer-2022-labs icon fsdl-text-recognizer-2022-labs

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

maplibre-storymap icon maplibre-storymap

Storytelling template with MapLibre GL JS, deployed using Node or static html.

mapreader icon mapreader

A computer vision pipeline for exploring and analyzing images at scale

rds-course icon rds-course

Materials for Turing's Research Data Science course

rockart-textanalysis icon rockart-textanalysis

A text analysis program to explore online content about prehistoric rock art. Uses web scraping and parsing, text processing, sentiment analysis and visualisation.

rse-course icon rse-course

Materials for The Alan Turing Institute's Research Software Engineering course

rse-git-example icon rse-git-example

Turing Research Software Engineering Autumn 2022 git training repo.

scivision icon scivision

scivision: a framework for scientific image analysis

weather-datascience icon weather-datascience

A data science project exploring the relationship between weather, geographic location and happiness in the UK. Uses K-means clustering, K-nearest neighbours and linear regression.

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