PhD Programme: Computational Neuroscience
Completed: 2016
Research focus: Investigated the effect of sedation on the EEG (Electroencephalography) response; The General Linear Model was applied to a large scale EEG data. Using full factorial analysis of ANOVA, cluster based statistical inference was conducted to evaluate how the coefficients of the model are modulated by different levels of sedation. Applied time-frequency analysis and Bayesian statistics to investigate how the features (bio-markers) of the EEG signal such as power, speed, and temporal jitters vary when sedated versus recovered.
What has your career path looked like since completing your PhD?
- Research Associate – Imperial College, London (Apr 2016 – Apr 2017)
- Computer Scientist – East Kent Hospitals NHS Foundation Trust (May 2017 – Oct 2019)
- Data Scientist – Anglia Ruskin University (Oct 2019 – Apr 2022)
- Data Scientist – Operose Health (Apr 2022 – present)
What is your current job title?
Healthcare Data Scientist at Oprosehealth
How did you find your career opportunities, and what application or interview tips would you like to share?
The application process started by a couple of interviews about my background, followed by an interview with my line manager, technical questions and programming tasks.
What advice and reflections would you like to share with current students, particularly those considering a transition from a PhD into a non-academic role?
- Whatever you learn in your life, try to learn deeply. Self-train and self-educate yourself.
Which skills developed during your PhD do you use in your current role?
- Programming skills
- high level mathematics used to develop data driven models.