Skip to content
View sea-shunned's full-sized avatar
🕶️
🕶️
15 followers · 7 following

Achievements

Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: StarstruckAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Organizations

@ucl-pond

Block or report sea-shunned

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sea-shunned/README.md

Hi there 👋

I'm a machine learning engineer at the Francis Crick Institute, supporting awesome scientists by helping and designing ML solutions for their problems. This is mostly related to image analysis, but we help with anything from finetuning foundation models to segment new tissue/modalities etc. to more of a research software engineer role, where we can help package/optimise/improve existing solutions. It's a varied job 😄

Feel free to get in touch about anything...but I'm probably most useful if it's related to:

  • Image analysis, esp.:
    • Segmentation, whether it's SAM or "just a U-Net"...finetuning, training, debugging etc.
    • Napari, plugin development or otherwise
  • Nextflow pipelines ❤️
  • LLMs for biologists
  • Anything I did during postdoc or PhD (memory notwithstanding):
    • Clustering
    • ML for disease progression modelling in Alzheimer's
    • Stratified clinical trials
    • Synthetic data
    • Evolutionary algorithms

Pinned Loading

  1. hawks hawks Public

    A package for generating synthetic clusters with control over "difficulty"

    Python 22 3

  2. ucl-pond/pySuStaIn ucl-pond/pySuStaIn Public

    Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.

    Jupyter Notebook 132 64

  3. ucl-pond/kde_ebm ucl-pond/kde_ebm Public

    Newer version of the KDEEBM code

    Python 9 12

  4. pymock pymock Public

    Delta- & Adaptive-MOCK implementation in Python

    Python

  5. Number of words tracker for thesis Number of words tracker for thesis
    1 
    import subprocess
    2 
    import argparse
    3 
    import csv
    4 
    from datetime import datetime, timedelta
    5 
    from pathlib import Path
  6. i3-Cheat-Sheet i3-Cheat-Sheet Public

    A simple cheat sheet for i3

    TeX 1