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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 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.

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  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. Mystic-Bit Mystic-Bit Public

    Forked from connortann/mystic-bit

    Learning whilst drilling through real-time, near-bit prediction ahead of the drill-bit, using offset well log data.

    HTML 1