I completed my statistics undergraduate degree at Newcastle University and simultaneously took on the role of STEM communicator as a member of the Street Scientist team.
As a statistical ambassador for the Royal Statistical Society (RSS) I respond to media requests and help journalists understand probability, data analytics and other statistical issues. Through the RSS I have developed advanced statistical communication skills which have been a huge help with disseminating my research to audiences of both statistical and clinical backgrounds.
In Summer 2018 I completed a technology internship with Ocado Technology. This was excellent experience of how cloud-based services and data analytics can be used for decision making in a fast-moving industry environment.
PhD title
Big Data Analytics in accelerometer-based data sets: long-term monitoring of gait to assess effectiveness of medication in Parkinson’s disease
Parkinson's Disease is the 2nd most common neurological disease. I use longitudinal triaxial accelerometer data from low-cost wearable sensors as a non-invasive means of medication efficacy assessment within Parkinson's Disease,
I aim to address the following questions:
How can we identify changes in gait as a consequence of medication during continuous free-living gait on a per-patient basis?
What is the pattern of gait change with respect to specific medication intake regimes?
