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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.

☕ 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.

Justin Boylan-Toomey's Projects

akin icon akin

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.

multimodal-document-classification icon multimodal-document-classification

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).

mystic-bit icon mystic-bit

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

simple-genetic-algorithm icon simple-genetic-algorithm

Simple genetic algorithm to evolve a population of binary strings to create a child string composed entirely of ones.

wame-optimiser icon wame-optimiser

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

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