Alaa Alahmadi is a Lecturer (Assistant Professor) in Computational Medicine at the School of Computing, based in the Interdisciplinary Computing and Complex BioSystems (ICOS) research group. She has also held an honorary position at the University of Manchester since 2021.

She completed her MSc and PhD at the University of Manchester (2016-2021), working on data visualization across multiple clinical trials (with AstraZeneca) during her MSc, and then devising, developing and evaluating novel interdisciplinary methods for intuitively monitoring drug-induced acquired long QT Syndrome during her PhD using explainable artificial intelligence and science-of-perception-based novel data visualisation approaches, collaborating with The Christie NHS Foundation Trust, Cancer Research UK, and AstraZeneca. Her research has been recognized with numerous accolades, including the MIT Innovators Under 35 Award, the IET Healthcare Technology Awards (Highly Commended), and the Parliamentary and Scientific Committee STEM for Britain Awards (only Computer Science finalist). She also won multiple university awards, including the University of Manchester Outstanding Doctoral Paper in Computer Science (2019), Outstanding Doctoral Thesis in Computer Science (Runner Up, 2022), and UK-SACB Saudi Excellence Doctoral Research Awards in 2019, 2020 and 2021.

Alaa Alahmadi has a special interest in Explainable Artificial Intelligence in Medicine, Cardiac Monitoring for Cardiotoxicity, Proarrhythmia, Pharmacogenetics, and Sudden Arrhythmic Death Syndromes (SADS). She is interested in exploring new approaches to engineering healthcare technologies that use integrative knowledge & modelling for heart monitoring across multiple complex disciplines.