I am currently an NIHR Academic Clinical Lecturer within the Centre for Musculoskeletal Research.

I completed my PhD (funded by Versus Arthritis) in January 2021 - this focused on developing novel techniques for remote disease severity measurement of the idiopathic inflammatory myopathies.

I completed my medical degree and an intercalated Masters in medical statistics at Lancaster University. I have since completed integrated clinical and research training programmes through the Academic Foundation Programme (West Midlands Deanery) and NIHR Academic Clinical Fellowship (University of Manchester). In 2021 I completed my PhD (University of Manchester), which focused on the development of novel remote disease severity measurement techniques (including remote gait pattern measurement) in the Idiopathic Inflammatory Myopathies.

In 2021 I was awarded a prestigious research fellowship from The Myositis Association. In 2022 I was appointed as an Academic Clinical Lecturer at the University of Manchester, which is funded by the NIHR. My research aims to develop and validate remote continuous gait monitoring as a remote monitoring method and an outcome measure for IIM research (observational and clinical trials).

Other research interests include developing methods of screening for myositis-associated cancer, time series analysis, statistics, and statistical computation.

I continue my clinical work through the rheumatology department of Salford Royal Hospital, which is a tertiary referral unit for a number of conditions, including the Idiopathic Inflammatory Myopathies.

Member of the Royal College of Physicians (MRCP)

General Medical Council

2012 - MBChB, University of Liverpool

2012 - MSc in Medical Statistics, Lancaster University

2015 - Membership of the Royal College of Physicians (MRCP)

2021 - PhD, University of Manchester

The idiopathic inflammatory myopathies

Clinical manifestations of the myositis specific/associated autoantibodies

Development of novel remote disease severity monitoring techniques

Continuous and remote gait pattern analysis

Implementation of machine learning approaches to time series analysis