My name is Max, a 3rd Year PhD student at the University of Sheffield in the Pyne Lab where I help uncover the role of DNA shape in self- and protein interactions through automated image analysis pipelines. I studied Physics at the University of Leeds during my undergraduate and Masters degree where I was introduced to Python and developed a love for scripting, coding and now software development.
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📫 How to reach me:
- mcgamill1(at)sheffield.ac.uk
- maxgamill(at)live.com
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😄 Pronouns: he/him
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⚡ Fun fact: In contrast to my coding work, I love adrenaline sports such as mountain biking, climbing, and skiing.
Git Stats -->
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🔭 I'm currently working on: image analysis workflows for atomic force microscopy images of DNA using TopoStats:
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🌱 I'm currently learning about: image-based deep-learning models and how auto-encoders could help with shape analysis via transfer learning (private repo until publishing):
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Created from scratch an interactive portfolio website showcasing early work such as; a simple feed-forward neural network to classify hand-drawn numbers trained on the MNIST dataset, a susceptible, recovered and infected (SIR) disease model, and monte-carlo simulations to model the magnetic moments of a 1D spin Ising model.
- A key challenge here was to create a frontend which could take client-side variables (and even drawing canvases!) and send these to the appropriate python scripts to be processed on the Raspberry Pi server.
- The project used: a html, css and javascript frontend, a Django and AJAX backend, hosted on a Ubuntu Raspberry Pi, equipped with an Apache gateway and port forwarding. (The webserver is currently down to free up the Raspberry Pi for other projects). Source code available at: ...
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(In progress) Creating from scratch an marketplace for personalised artwork / photo editing using a variety of algorithms and machine learning models (no generative models!). Once complete I hope that people would be able to apply funky filters to their own images and personalise them for cards / invitations such as those below:
