As a recent medical genetics graduate with a strong foundation in bioinformatics and data science, I bring a unique blend of skills to the field of health data science. My journey so far has equipped me with hands-on experience in developing predictive machine learning models using biological data and creating data pipelines for satellite data analysis.
During my final year project, I successfully developed a machine learning model to predict breast cancer radiotherapy side effects, achieving up to 94% accuracy.
This summer, I also gained valuable experience in creating data pipelines to streamline data assimilation in preparation for the MTG-IRS satellite launch.
I’m thrilled to have been awarded the HDR UK scholarship, which will be instrumental in supporting my next steps to apply these skills to crucial health data science research in diabetes, a disease that affects millions globally with significant health and economic impacts. I aim to contribute to the development of more effective prevention strategies, personalised treatments, and improved management of diabetes.
Looking forward, I’m eager to embark on this new chapter of my career in health data science. I’m fully committed to making the most of this opportunity, applying my diverse skill set to address pressing health challenges, and contributing meaningfully to improving patient outcomes.
