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Alexander Anderson

Cohort:

2025

Project

iHFpEF: AI imaging analysis of echocardiographic data to allow development of a fully integrated prediction model for heart failure with preserved ejection fraction (HFpEF) using both echo and clinical data

Co-funding Partner

British Heart Foundation

Supervisors

Kevin O’Gallagher

Alistair Young

Jack Wu

Biography

Alexander Anderson is a Google DeepMind Scholar and graduate of the University of Birmingham’s MSc in Artificial Intelligence and Machine Learning. He holds a First-Class BSc in Computer Science (Artificial Intelligence) from the University of Kent. His experience spans software engineering, data science, and machine learning, with applications across healthcare and defence.

Driven by curiosity and impact, Alex enjoys designing intelligent systems that connect data and human understanding. His previous work includes developing real-time computer vision systems and neuroimaging pipelines for fNIRS and MRI data. He is now part of the DRIVE-Health CDT, where he focuses on applying multimodal AI to improve cardiovascular disease prediction.

Alex’s mission is to develop responsible and accessible AI that advances human health and wellbeing. He aspires to become a research scientist in industry, working at the intersection of artificial intelligence and healthcare innovation.

Outside of PhD life, Alex enjoys embracing creativity, collaborating with fashion brands across Europe and the US.

Research interests

Multimodal AI, Machine learning, Reinforcement learning

Hobbies and Interests

Dancing salsa, Sports, Health and longevity