Artificial Intelligence Researcher | 07401151228 | linkedin


Artificial intelligence explicability, visualisation and interpretation of deep learning models; deep learning and computer vision for medical applications; neural network architecture design.


5+ years in Python, plus various machine learning and data handling libraries including Numpy, Pandas, Pytorch and TensorFlow. 


  • Jessica Cooper, Neofytos Dimitriou and Ognjen Arandjelović. The science that informs government policy, its quality and ethical implications – a lesson from the UK’s response to 2020 CoV-2 outbreak. Accepted/In press: Journal of Bioethical Inquiry.


May 2019 – Present

Research Scientist, Centre for AI Research in Digital Diagnostics, School of Medicine, University of St Andrews

  • Researching the application of deep learning to digital pathology and diagnostics.

September 2018 – Present

Machine Learning Research Consultant, Predict Mobile

  • Building machine learning models to predict call and data usage for business telecoms.

July 2019

Machine Learning Research Consultant, 3etage

  • Preliminary research and data exploration to assess potential applications of machine learning to client data assets.

July 2018 – September 2018

St Andrews: CAPOD Mentor for Computer Science Taught Masters

  • Mentored students, helping them prepare for the MSc Advanced Computer Science programme.

June 2018 – July 2018

St Andrews: Fast Track Deep Learning Organiser

  • Organised a deep learning lecture course in partnership with Neofytos Dimitriou for postgraduate students in the School of Computer Science.

April 2018 – October 2018

AI Safety Research Camp: Outside Research Coordinator

  • Helped to organise a non-profit research accelerator, liaising with the outside academic community to understand priority research areas in AI safety and interviewing applicants.

February 2018 – April 2018

AI Safety Research Camp: Artificial Intelligence Safety Researcher

  • Worked with Karol Kubicki, Gavin Leech and Tom McGrath, implementing DQN and IRL agents to explore AI safety in gridworlds, extending existing work
  • Wrote new stochastic and dynamic environments for Deepmind’s pycolab engine to explore side-effects problems. Code.

January 2018 – August 2018

University of St Andrews: AGI Forum

  • Organised a weekly Artificial General Intelligence academic reading group, facilitating interdisciplinary discussion of AI research with staff and students from computer science, medicine, neuroscience, psychology, maths and philosophy.

January 2018 – September 2018

Effective Altruism: Society St Andrews Committee Member

  • Assisted with running the society and organising EA events within St Andrews, focusing mainly on promoting discussion of AI safety and ethics.

December 2016 – September 2017

Freelance Web Developer

  • Built websites for fun and profit, using Javascript, HTML, CSS & WordPress.

July 2012 – May 2017

J M Cooper Design: Owner/Creative Director

  • Ran small design agency, working for a range of international clients in web design, branding, illustration, publishing and technical artwork.
  • Planned complex short and long term projects, leading small teams of freelancers across several time zones.


  • Understanding Ancient Coin Images INNS Big Data and Deep Learning 2019
  • Meta-learning: Can We Learn How To Learn? 7th Dalehead Philosophy Retreat, 2018
  • The AI Safety Problem 6th Dalehead Philosophy Retreat, 2017
  • Artificial Intelligence is a Threat To Humanity (debate) St Andrews Computer Science Postgraduate Reading Party
  • Preventing Side Effects in Gridworlds AI Safety Research Camp


January 2020 – Present

Doctoral Student, School of Computer Science, University of St Andrews

  • PhD in Computer Science, in deep neural network interpretability.

September 2017 – September 2018

MSc Advanced Computer Science (with Distinction), University of St Andrews

  • Dean’s List award for academic excellence.
  • Modules: Object Oriented Programming, Modelling and Design (Distinction); Artificial Intelligence Principles (Distinction); Artificial Intelligence Practice (Distinction); Interactive Software and Hardware (Distinction); Visual Analytics (Distinction); Data, Ethics & Privacy (Merit); Machine Learning (Distinction).
  • Highlights: Built a small autonomous robot and a virtual pond full of evolving fish; created a quantitative framework for assessing privacy risk in data science projects; was nominated for the Proctor’s Award for Teaching Excellence and Student Leader of the Year.

September 2009 – May 2012

BA Fine Art (2:1), Birmingham Institute of Art and Design