Georgios Theocharidis

About me

Hello and welcome!

My name is George, and I'm an independent researcher interested in how Machine Learning can help us better understand the brain! I have a BEng in Electronic Engineering, which was then followed by an MSc in Machine Learning. One thing led to the other and towards the end of my MSc I was fortunate enough to work with such amazing collaborators as Sotirios Bisdas from UCL and Antonios Saravanos from NYU. I invested a lot of time and effort in an attempt to learn how to conduct research. I want to use what I have been learning to make a real difference to people's health, and although we're making progress, there's still a long way to go!

This site is where I keep my projects, reading lists, notes and more.

Publications

Published work

Applying ensemble machine learning techniques to MRI scans to predict Alzheimer’s disease

Theocharidis, G., Bisdas, S., Pazarzis, J. et al. Scientific Reports 16, 28858 (2026). https://doi.org/10.1038/s41598-026-57402-8

An MRI-only framework for predicting future Alzheimer’s disease conversion in cognitively normal individuals, using an ensamble of differnet machine learning models.

Read paper! ↗ Download PDF

Live demo

This is the model from our published paper: given an MRI scan of a healthy patient, it predicts the likelihood of developing Alzheimer’s disease in the future.

Experience

Research & technical experience

Aug 2024 - Present

Appleyard Lees IP LLP

Trainee Patent Attorney

Drafting and prosecuting patent applications relating to machine learning methods, and working with inventors to clarify their technology.

Mar 2023 - Aug 2024

NeuProScan

Co-founder

Developed a machine learning pipeline for MRI scan data, including downloading, cleaning, normalisation, and labelling.

Jan 2019 - Jun 2019

BMW Group UK

Technical Services Intern

Proposed a DAB-radio recall notification system for older vehicles without internet connectivity.

Education

Academic background

2021 - 2023

Machine Learning in Science, MSc

University of Nottingham · Merit

Study of machine learning, deep neural networks, transfer learning, and statistical analysis.

2015 - 2021

Electronic and Electrical Engineering with a Year in Industry, BEng

Swansea University · First-Class Honours

Power systems, digital signals, and communication technologies.

Reading List

What I’m reading now, and the books that stuck with me over the years.