Michalis Pistos

Michalis is a DPhil Student in Population Health at the Big Data Institute. He is supervised by Professor Bartek Papiez and Professor Katherine Vallis at Oxford, and Professor Tim Witney at King’s College London. His doctoral research focuses on the use of artificial intelligence and multimodal pulmonary imaging for modelling disease progression. He is particularly interested in lung cancer and the preclinical field, aiming to integrate diverse and limited data sources (e.g. PET/CT imaging, metadata, etc.) to develop more robust and generalisable models.

Prior to his DPhil, Michalis obtained a BEng in Mathematics and Computer Science and an MSc in Computing (Artificial Intelligence and Machine Learning) from Imperial College London, where his research focused on multi-trajectory infant brain forecasting with federated Graph Neural Networks. He subsequently worked for a year in industry as a Software Engineer, followed by a year as a Research Assistant under Professor Bartek Papiez, leveraging foundation models to quantify lung cancer and predict treatment response.

Outside of work, he enjoys hiking, bouldering, and playing tennis.