Biography

I hold a MSc in Artificial Inteligence from The University of Edinburgh.

Currently, I’m an Senior Applied Researcher at Kheiron Medical Technologies, member of the mammography research team and working on various projects across the org.

Interests

  • Computer Vision
  • Multi-task learning
  • AI-enabled products

Education

  • MSc in Artificial Intelligence, 2016

    University of Edinburgh

  • BSc (Hons) in Computer Science, 2015

    University of Liverpool

Experience

 
 
 
 
 

Applied ML Lead

Kheiron Medical Technologies

May 2020 – Present London

Responsibilities include:

  • ML project management
  • ML codebase and infrastructure
  • Analysing data and creating pipelines such that ML can focus more on research.
  • Modelling
  • Co-ordinating with product engineers to CD ML models whilst not interfering with Research.
 
 
 
 
 

Senior Applied Researcher

Kheiron Medical Technologies

Sep 2019 – May 2020 London

Responsibilities include:

  • Analysing
  • Modelling
  • Deploying
 
 
 
 
 

Applied Researcher

Kheiron Medical Technologies

Dec 2016 – Sep 2019 London

Responsibilities include:

  • Analysing
  • Modelling
  • Deploying
 
 
 
 
 

MSc Student

University of Edinburgh

Sep 2015 – Sep 2016 Edinburgh
During my masters I researched human locomotion synthesis. Investigating the use of pre-learnt representations in an auto-regressive model along with control signals to generate the succeeding motions. Thesis PDF

Accomplish­ments

Understanding Prostate Cancer

Coursera May 2018
See certificate

Introduction to Breast Cancer

Coursera Nov 2017
See certificate

Recent Posts

Productising Tensorflow with `swish_f32` errors

Problem Recently I was trying to freeze & optimize a model for deployment, however I was running into the following issue: Op type not registered 'swish_f32' in binary running Weird, I was pretty sure I was just using tf.
Aug 16, 2020 2 min read

Recent Publications

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Deep learning in breast cancer screening

Hugh Harvey, Andreas Heindl, Galvin Khara, Dimitrios Korkinof, Michael O’Neill, Joseph Yearsley, Edith Karpati, Tobias Rijken, Peter Kecskemethy, Gabor Forrai
PDF

High-resolution mammogram synthesis using progressive generative adversarial networks

Dimitrios Korkinof, Tobias Rijken, Michael O'Neill, Joseph Yearsley, Hugh Harvey, Ben Glocker
PDF

A Recurrent Variational Autoencoder for Human Motion Synthesis.

Ikhsanul Habibie, Daniel Holden, Jonathan Schwarz, Joe Yearsley, Taku Komura, Jun Saito, Ikuo Kusajima, Xi Zhao, Myung-Geol Choi, Ruizhen Hu, others
PDF

An RNN Based Generative Model of Human Motion.

Joe Yearsley
PDF

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