Accepting applications from PhD students.
Email: [email protected]
1) Spatial statistical models clinical images to help understand diseases: their aetiology, progression, and response to treatments.
2) Longitudinal and spatio-temporal models for early detection, screening and monitoring of diseases to assist clinical decision-making and help deliver optimised patient management strategies.
3) Uncertainty quantification for predictions from statistical and machine learning models, toward more explainable predictions.
She obtained PhD in Statistics at the University of Pittsburgh, USA (2004). She has an MA degrees in Economics and Statistics from the University of Pittsburgh, USA (1999 and 2002) and an MSc in Mathematical Statistics, Probability and Computer Science at Comenius University in Slovakia in 1994. She has worked as a Reader in Statistics for Healthcare (LJMU, 2018-2024), Lecturer at the University of Liverpool (2012-2018), a Postdoctoral Research Fellow at the University of Warwick (2010-2012, 2007-2008), the University of Oxford (2009-2010), Harvard Medical School and Massachusetts General Hospital, USA (2004-2007).