Principal Investigator

– Prof. Danny Alexander

Danny is Professor of Imaging Sciences at UCL and leader of both the POND group and the Microstructure Imaging Group.
Email: d alexander at UCL


– Dr Neil Oxtoby

Neil is a senior postdoc who leads the POND group with Danny. In addition to managerial contributions, Neil’s research involves him employing modelling skills from physics and engineering to explore the POND within the event-based framework and beyond.
Email: n oxtoby at UCL


– Dr Jonathan Schott

Jon is a Clinical Senior Lecturer in Neurology at UCL’s Dementia Research Centre. He ensures clinical relevance of our work on the POND.
Email: j schott at UCL

– Prof. Nick Fox

Nick is Director of the Dementia Research Centre and a Consultant Neurologist. He provides invaluable expertise on biomarker-driven diagnostic applications for the POND.
Email: n fox at UCL

Research Associates

– Dr Alexandra Young

Alex did her PhD with us and is now an EPSRC postdoc. She is an event-based model guru.
Email: a young at UCL

– Dr Nicholas Firth

Nick works primarily on disease progression modelling of cognitive measures, as part of the C-PLACID project.
Email: nicholas firth at UCL

– Dr Peter Wijeratne

Peter works on disease progression modelling in Huntington’s Disease, using data from the Track-On HD project.
Email: p wijeratne at UCL

– Dr Leon Aksman

Leon started a postdoc with us in March 2017 after completing his PhD at Kings College London. He works in the EuroPOND consortium on longitudinal models of Alzheimer’s disease and others.
Email: l aksman at UCL

– Dr Daniele Ravi

Dani joined POND in April 2018, bringing his expertise in deep learning to the EuroPOND project.
Email: d ravi at UCL

– Dr Arman Eshaghi, M.D.

Arman recently completed his PhD at the Institute of Neurology (joint with POND). He is an expert in modelling the progression of multiple sclerosis.
Email: arman eshaghi at UCL

Research students

– Razvan-Valentin Marinescu

Raz is using the event-based model (and beyond) to explore progression of posterior cortical atrophy, a variant of Alzheimer’s disease.
Email: raz marinescu at UCL

– Kyriaki Mengoudi

Rica is a PhD student applying statistical and machine learning techniques to evaluate the effect of the arts on dementia patients’ quality of life.
Email: kyriaki.megoudi at UCL
Website: homepage

– Maura Bellio

Maura is a CDT student working at the interface of cognitive psychology, human-computer interaction, and computer science.
Email: maura.bellio at UCL
Website: homepage

– Nonie Alexander

Nonie is using electronic health records to investigate progression and subtypes of Alzheimer’s Disease.
Email: nonie alexander at UCL

– Pere Planell Morell

Pere is analysing electronic health records data to investigate multimorbidity, including progression of prevalent health conditions such as dementia and cardiovascular diseases. Email: p morell at UCL


– Dr Sara Garbarino

Sara was a postdoc working on disease progression modelling within the EuroPOND project. She moved to INRIA Sophia in Nice, France to work with Marco Lorenzi.

– Dr Marco Lorenzi

Marco was a postdoc working on spatiotemporal modelling in the POND, with a focus on image-based analyses. He moved to INRIA Sophia in Nice, France.
Email: m.lorenzi at INRIA

– Viktor Wottschel

Viktor was a PhD student based at the Institute of Neurology who applied machine learning techniques to study the progression of multiple sclerosis. He moved on to work at VUmc in Amsterdam as part of the EuroPOND project.

– Prof. Sebastien Ourselin

Seb was Professor of Medical Image Computing at UCL and leader of the Translational Imaging Group. He brought a wealth of medical image analysis expertise to the POND team.
Seb moved to KCL


– Riccardo Pascuzzo

Riccardo visited POND from Politecnico di Milano (Nov 2016 — Jan 2017). He worked on modelling sporadic Creutzfeldt-Jakob disease as part of the EuroPOND project.

– Dr Esther Bron

Esther visited from ErasmusMC in Rotterdam (Sep — Dec 2015). She applied the event-based model to dementia cohorts with a focus on Arterial Spin Labelling data.