I am currently a Professor at Northumbria and hold a UKRI Future Leader Fellowship. I obtained my PhD in 2012 from the University of Sheffield and moved to Northumbria shortly after as a University Research Fellow. In 2014 I obtained a Leverhulme Trust Early Career Research Fellowship.

I currently lead a small research group (inc. post-doctoral researcher, PhD & Masters students) who are motivated to understand the role magnetohydrodynamic (MHD) waves play in transferring energy through the Sun’s atmosphere, powering the heating of the million-degree solar wind and its acceleration to a million miles per hour. My contribution to the field of Solar Physics has been recognised with the award of the Royal Astronomical Society's Winton Capital prize 2015 and Fowler Award` (2021). 

I primarily uses data from satellites and ground-based telescopes to undertake my research; hence I have an interest in the different methodologies required for analysing data. This links to my teaching within the University, where I have designed courses on working with astrophysical data and data science techniques.

I am enthusiastic about outreach and have recently completed a successful project called ‘Imagining the Sun’ (STFC funded), working with schools, education authorities, artists and poets, to deliver a combined science and art programme (https://nustem.uk/imagining-the-sun/).

My UKRI Future Leader Fellowship project is called 'Revealing the Pattern of Solar Alfvenic Waves (RiPSAW)' and involves utilising remote observations of the Sun to probe the role of Magnetohydrodynamic waves in heating the outer layers of the Sun's atmosphere.

I typically work with data from satellites that observes the Sun in EUV (Solar Dynamics Observatory, Hi-C) and data from ground-based telescopes (Coronal Multi-Channel Polarimeter) that examines infra-red emission from the solar corona. 

I am interested in developing and using modern methods for data analysis, including numerical Bayesian analysis, Machine Learning and Neural Networks.