Julian Wyatt

Oxford University Computer Science DPhil Student
Medical Imaging Solutions research group

About Me

About Me

My growing passion for cutting-edge computing technologies, sparked by industry Keynote events and CES/E3 showcases, led me to delve into unexplored areas of Computer Science—voxels, Machine Learning, and IoT—ultimately influencing my pursuit of a master's degree. Throughout my academic journey, I actively engaged in collaborative software engineering projects, with a focus on applying deep learning to medical imaging, resulting in a workshop paper publication at CVPR on anomaly detection in brain scans. Now a DPhil student at the University of Oxford, I contribute to the Medical Imaging Research Group, leveraging my expertise in software engineering and deep learning to drive innovative solutions in medical imaging and stay at the forefront of technological advancements.


Course Information:

  • University: Oxford University
  • Degree: DPhil Computer Science

Soft Skills:

  • Determined and strong work ethic
  • Analytical with strong problem solving skills
  • Strong leadership skills through coaching and playing American Football
  • Networking skills through contacting and conversing with Barclays Directors
  • Team working skills through various software projects and sporting teams
  • Time management and communication from working at a Subway Restaurant and as a waiter

Notable Achievements & Hobbies:

  • Oxford University American Football WR Coach 23-present
  • American Football | Coached U16s local team 17-21
  • Flag Football National Team | Coached in Italy for U15s side | Finished 2nd
  • DU Flag American Football 19-22 | 20-21 Captain | 21-22 President
  • Collingwood Rounders 20-22 | President 21-22 | Sports Award 21
  • Collingwood College Pool B team 19-20 | A team 21-22
  • Mensa IQ 99th Percentile Culture Fair Scale
  • Duke of Edinburgh Bronze Award | NCS Scheme

Programming Confidence

Python 95%
Machine Learning95%
AWS OCR & NLP Services90%
SQL 85%
C# 75%
C++ (Parallel OpenMP)50%
Django 85%
HTML 100%
CSS 95%
JavaScript 85%
Typescript 85%
React 85%
NodeJS - Express50%
My Resume

My Resume

In the early stages of my career, I developed my inter-personal skills and responsibilities by working as a waiter at my local restaurant (2017), as a bet-taker at the Bolton Wanderer's home ground (2017-2018), and finally as a Sandwich Artist at Subway fast food restaurant (2018-2019).
Please see below for relevant work experience.


Julian Wyatt

I am a keen, dedicated and determined computer science DPhil student, with aspirations to make meaningful research contributions within the medical imaging domain.



Oxford University

2023 - 2027

Computer Science - DPhil

Relevant Modules:

Graph Representation Learning, Uncertainty in Deep Learning, Computational Medicine, Geometric Deep Learning

Durham University

2018 - 2022

Computer Science - 1st Class (Hons.) Master's of Engineering (MEng)

Year 1 - averaged 78%
Year 2 - averaged 78%
Year 3 - averaged 73%
Year 4 - averaged 78%

Published Dissertation: AnoDDPM
Project Preparation: Bias in Multimodal
Emotion Recognition

Relevant Modules:

Year 4:
Advanced Computer Vision, Natural Language Processing, Advanced Computer Graphics and Visualisation
Year 3:
Computer Vision, Deep Learning and Reinforcement Learning, Recommender Systems, Master's Project Preparation
Year 2:
Software Methodologies - (Machine Learning, Computer Graphics, AI Search, Image Processing), Networks and Systems - (Networks, Distributed Systems, Security, Compiler Design), Programming Paradigms - (C, Java, Haskell), Software Engineering
Year 1:
Computer Systems, Algorithms and Data Structures, Programming - (OOP in JS, NodeJS)


2016 - 2018

A Level - Physics and Maths - Grades: A and A
BTEC - Level 3 BTEC Extended Diploma in Creative Media Production (Games Design) - Grade: D*D*D
Awards: Awarded Best Male Student, Best Physicist, Best Mobile Game developer, and nominated for Best Mathematician and Best Game Developer

Rivington and Blackrod High School

2011 - 2016

GCSEs - 4 A*'s, 4 A's and 2 B's, with Further Maths (A*) and English Language (A)
Awards: Leigh Bromwell Trust prize for Maths and Excellence in Science

Professional Experience



Graduate Developer Analyst

Other: (Nov-Sep) Technical lead for internal startup from idea to production as a winner of the BUK early careers team task, which included a full stack Django and React architecture deployed in Docker Kubernetes containers. The project gained traction and popularity from senior directors with the production pilot achieving its sign-up target.
(Apr-Sep) Technical lead for secondary internal startup utilising modern deep learning from idea to early prototype.
Rotation 2 (Apr-Sep): Collaborated with another graduate to migrate an external Java docker project for use internally.
Rotation 1 (Aug-Apr): RESTful API and regression tester in BPF (Barclays Partner Finance) and transitioned to full stack .NET developer.

CVPR - New Orleans


Master's Research - “AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise”

University advanced project accepted at the New Trends in Image Restoration and Enhancement (NTIRE) workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Developed technical communication skills through academic poster presentations to worldwide researchers in addition to peer reviewing for the workshop. Improved time management and adaptability by simultaneously completing other university work.



Customer Digital & Data Developer Intern

For my second internship with Barclays, I was placed in the Customer Digital & Data department. This involved working in a small team to research and develop an AWS OCR & NLP proof of concept for a product evaluation. Additionally, I produced flowcharts and project requirements to begin automation of the Bank's "New to Bank" joiner application. Finally, I lead and presented a team pitch outlining improvements to Barclay's Mobile Live Chat Service, regarding a user-driven development problem statement and potentially improving the business customer relations.



Mainframe Connectivity Intern

Through the struggles of the COVID-19 pandemic I was able to secure a valuable internship with Barclays where I was placed in the Global Infrastructure department. Here, I worked with the mainframe connectivity team to complete my technical & non-technical objectives. These involved: migrating internal bank users of a mainframe application to use a load balanced system; amending, adding and removing devices located in branches such as ATM opening times; tidying up decommissioned connections within the mainframe sysplex. Furthermore, the non-technical objectives notably included networking with directors & MD's of Barclays.

Software Engineering Group Project

2019 - 2020

RT Projects Database and Register Solution

For the Software Engineering module in the second year of my degree, my team was tasked to reach out to a local charity and develop software for them. Our Charity, RT Projects, is a creative mental health charity based in Newcastle. They wished to improve their data collection and statistical measurements with a small application.

  • Collaboratively developed using Python, Git and Trello
  • Worked as team lead - ensured the team was on track
  • Primarily developed database integration through linking Python and SQL, as well as Dropbox API interaction