Experience
Senior AI/ML engineer working in computer vision with a decade of experience building computer vision pipelines to detect, segment, track, classify and quantify what’s happening in images and video. PhD in explainable AI/ML.
Currently a Senior AI/ML Engineer at gsk.ai, where I work on all the above in the medical domain. Served as an interim director in early 2025. I’ve also previously worked at AstraZeneca and NPL.
A Physics degree from the University of Manchester is the foundation of it all.
Publications
- Partarrieu, I.X., et al. (2022). Measurement uncertainty quantification for myocardial perfusion using cardiac positron emission tomography imaging. Measurement Science and Technology.
- Partarrieu, I.X., et al. (2022). Technical validation of myocardial perfusion quantification methods using positron emission tomography imaging: a comparison of scanners and algorithms. Applied Sciences.
- Escudero Sanchez, L., …, Partarrieu, I.X. (2022). Photoacoustic imaging radiomics in patient-derived xenografts: a study on feature sensitivity and model discrimination. Scientific Reports.
- Partarrieu, I.X., et al. (2020). Assessing generalized multi-pool exchange tissue model MRI simulations for the modelling of an ultra-low field scanner. International Society for Magnetic Resonance in Medicine. Speaker.
- Partarrieu, I.X., et al. (2017). Technical validation of heterogeneity features for PET imaging using phantom measurements. Society of Nuclear Medicine and Molecular Imaging. Speaker.