Skip to content
View justinbt1's full-sized avatar
🏕️
🏕️
6 followers · 28 following

Sponsoring

@numfocus

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Public Sponsor

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: QuickdrawAchievement: Public Sponsor

Block or report justinbt1

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
justinbt1/README.md

Hi there, I'm Justin Boylan-Toomey 👋

🏢 Work

Currently I lead the Machine Learning team at the Wellcome Trust, where we develop machine learning models and metrics to support Wellcome's mission to fund new discoveries in life, health, and wellbeing. We also support the Wellcome Collection, a museum that explores the connections between medicine, life and art.

I also do pro bono data science consulting, mostly working to help third sector organisations tackle their challenges using data with DataKind UK.

☕ Get in Touch

I am always interested in discussing the use of data and machine learning in research funding and data science for public good.

Pinned Loading

  1. Multimodal-Document-Classification Multimodal-Document-Classification Public

    MSc project investigating multi-modal fusion approaches to combining textual and visual features for multi-page classification of documents within the OGA National Data Repository (NDR).

    Jupyter Notebook 5

  2. Akin Akin Public

    Python library for detecting near duplicate texts in a corpus at scale using Locality Sensitive Hashing, as described in chapter three of Mining Massive Datasets.

    Python 8

  3. WAME-Optimiser WAME-Optimiser Public

    Implementation of the WAME (Weight-wise Adaptive learning rates with Moving average Estimator) optimization algorithm for TensorFlow version 2.0 or higher.

    Python

  4. MLE-Reading-List MLE-Reading-List Public

    A curated list of technical machine learning, data and programming related books.

    1