Data Scientist in AI & Digital Health at Imperial College
Transforming complex data into real-world impact through artificial intelligence and machine learning.
About Me
I am an artificial intelligence researcher specializing in digital health with a background in large-scale data analysis. With a Master's in Natural Sciences from the University of Cambridge, I am skilled at turning complex data into real-world impact.
My current research at Imperial College focuses on developing and implementing natural language processing and generative AI tools to deliver meaningful benefits to the NHS. Current projects focus on developing transformer-based models to extract clinical problems and diagnoses from unstructured text, as well as to anonymize personally identifiable information in clinical notes.
Experience
Imperial College London
March 2025 - PresentData Scientist
Data science research at iCARE (Imperial Clinical Analytics, Research and Evaluation) working across Imperial College London and Imperial College Healthcare NHS Trust.
- Research focuses on the development and implementation of natural language processing and generative AI tools
- Working to deliver meaningful benefits to the NHS through advanced data analysis
Focused Umbrella
January 2025 - February 2025Data Scientist & Analyst
- Implemented completeness checks for company billing data through Databricks and dbt
- Produced reports to deliver key insights to stakeholders
- Developed a process to consolidate the monthly billing cycle with an impact of hundreds of thousands of pounds
Gamma
November 2023 - July 2024Revenue Assurance Analyst
- Responsible for ensuring the integrity of Gamma's revenue stream through data analysis of large datasets, primarily with SQL
- Resolved billing issues and developed new code in SQL for monthly processes
- Compiled and analysed reports in Excel and dashboards in Power BI
- Reviewed data for fraudulent activity and assisted police with data requests
Education
University of Cambridge
October 2022 - June 2023Master of Science - MS, Natural Sciences
Specialised in particle physics and astrophysics, with a computational project in the use of machine learning in medical physics.
Courses Taken:
Master's Project:
Machine Learning Image Registration for UltraHigh MRI - Application of machine learning to achieve and improve motion correction in MRI brain scans, primarily conducted in Python. Collaborative initiative between the Wolfson Brain Imaging Centre at the University of Cambridge and Addenbrookes Hospital.
University of Cambridge
October 2019 - June 2022Bachelor of Arts - BA, Natural Sciences
Activities:
College general sports captain and hockey captain.
Course Structure:
- First year: Physics, Mathematics, Materials Science, and Chemistry
- Second year: Physics and Mathematics
- Third year: Specialisation in Physics with theoretical options
Third Year Literature Review:
GitHub Projects
Get In Touch
Interested in collaborating or learning more about my work? Feel free to reach out through any of the channels below.