- Digital transformation lead for inpatient Therapies and Dietetics at the National Hospital for Neurology and Neurosurgery

A Python application that reads data from a transcutaneous carbon dioxide monitor (TOSCA machine) and, leveraging the plotting library ‘Matplotlib’, visualises graphically the previously incomprehensible data. Using Pandas and Numpy, I cross-analysed this data with Arterial Blood Gas readings to validate the TOSCA against the gold standard.

Modernised the data collection of patient-reported outcome measures in a physiotherapy musculoskeletal outpatient clinic by digitising the previously paper-based questionnaire forms. I then developed a Python application that web-scraped the user responses using Selenium Webdriver, analysed the data with the data manipulation modules ‘NumPy’ and ‘Pandas’, before displaying the information in an Excel file for analysis. This revolutionised a task that required 6-8 hours of clinician time per week, into one completed instantaneously.

- Co-authored a review paper (https://www.nature.com/articles/s41531-021-00173-y), published in NPJ Parkinson’s review, was written in support of a grant outline funded by Parkinson’s UK, with the purpose to investigate the neurophysiological factors that contribute to chronic pain in people with Parkinson’s disease.