Paul Sweeney
My research focuses on developing and applying image-based mathematical and computational models to study transport phenomena in microvascular tissues.
I am currently based in the VISIONLab, led by Prof. Sarah Bohndiek, at the Cancer Research UK Cambridge Institute, University of Cambridge. Here, my research focuses on understanding the role of hypoxia in the tumour microenvironment through a combination of biophysical models and image processing of mesoscopic photoacoustic imaging using deep learning.
Previously, I was a PhD researcher and a postdoctoral fellow in the labs of Prof. Becky Shipley and Prof. Simon Walker-Samuel at University College London. Together we built an image-based modelling framework called REANIMATE. This platform combines mathematical models with in vivo and ex vivo imaging to predict fluid and mass in whole vascular tumours.
Positions
(Feb 2023 - Present) - Senior Research Associate, CRUK Cambridge Institute, University of Cambridge.
(Sept 2020 - Present) - College Research Associate, St John’s College, University of Cambridge.
(Apr 2020 - Dec 2022) - Wellcome Trust Junior Interdisciplinary Fellow, CRUK Cambridge Institute, University of Cambridge.
(Oct 2019 - March 2020) - CRUK Research Associate, CRUK Cambridge Institute, University of Cambridge.
(Oct 2017 - Sept 2019) - Rosetrees Trust Postdoctoral Research Fellow, Dept. of Mechanical Engineering, University College London.
Education
(2014 - 2018) - PhD in Applied Mathematics at University College London.
(2013 - 2014) - MRes in Mathematical Modelling in Healthcare Engineering at University College London.
(2012 - 2013) - MSc Applied Mathematics at Imperial College London.
(2009 - 2012) - BSc Mathematics at University of Southampton.
Teaching
(2022) - Mathematical Tripos Part III Essay - Essay setter and examiner: ‘Generative adversarial networks in biomedical imaging’.
(2020 - 2021) - College Supervisor (St John’s College) in Mathematical Biology for Natural Sciences Tripos.
(2014 - 2016) - Undergraduate Tutor in Mathematical Modelling & Analysis II in the Dept. of Engineering, University College London.