Alejandro Frangi
Also known as Alex Frangi, Alejandro Federico Frangi
Alejandro Frangi is a Bicentennial Turing Chair in Computational Medicine at The University of Manchester, and his work applies machine learning and deep learning to medical imaging. He studied telecommunications engineering in Barcelona, graduating in 1996, and later completed a PhD at Utrecht University. His research group produced two spin-off companies, Clintelis in 2009 and GalgoMedical in 2013. He became an IEEE Fellow in 2014 and joined Leeds in 2018 as Diamond Jubilee Chair in Computational Medicine. The European Research Council gave his INSILICO project an Advanced Grant in 2023, and the project tests medical technologies on digital twins of patients.
Timeline
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1991–1996
A telecommunications degree
In 1991 he moves to Barcelona, where he earns a telecommunications engineering degree at the Technical University of Catalonia in 1996, and later he completes a PhD at Utrecht University.
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2009–2013
Two spin-off companies
His research group produces two spin-off companies: Clintelis in 2009 and GalgoMedical in 2013.
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2014
Named an IEEE Fellow
The IEEE names him a Fellow in 2014 for contributions to medical image analysis and image-based computational physiology.
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2018–2019
A Diamond Jubilee chair in Leeds
Leeds welcomes him in 2018 as Diamond Jubilee Chair in Computational Medicine, with joint appointments in computing and medicine. In 2019 the Royal Academy of Engineering awards him a Chair in Emerging Technologies.
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April 2023
An ERC Advanced Grant
In April 2023 the European Research Council gives his INSILICO project an Advanced Grant. The project tests medical technologies on digital twins of patients.
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2023
A Royal Academy fellowship
The Royal Academy of Engineering elects him a Fellow in 2023, and in November 2023 he takes up the directorship of the Pankhurst Institute.
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Since 2023
A Bicentennial Turing chair
He joins The University of Manchester in 2023 as the Bicentennial Turing Chair in Computational Medicine. He develops medical image analysis and modelling algorithms based on machine learning and deep learning.
Sources and credits
Photo: affrangi.github.io; Alejandro F. Frangi; creator not stated. License: Not stated by source. Source: affrangi.github.io. Cropped to a square and resized. Ask us to remove or replace this photo.
- Alejandro Frangi - Wikipedia
- New Directors of the Centre for Responsive HealthTech Innovation announced | University of Leeds
- Alejandro FRANGI | Eambes
- Professor Alejandro Frangi becomes a Fellow of the Royal Academy of Engineering | StaffNet | The University of Manchester
- Pioneering safer, cheaper and quicker clinical trials with AI 'digital twins'
- New Director of the Pankhurst Institute appointed | StaffNet | The University of Manchester
- Professor Alejandro (Alex) Frangi FREng