London, England, United Kingdom
I’m a PhD student in AI for Healthcare at Imperial College London, with a background in Bioengineering. My research focuses on applying machine learning to real-world healthcare challenges, with the aim of developing tools that support clinical decision-making and improve patient outcomes. I’m particularly interested in computer vision, time series modeling, personalised medicine, and the integration of AI into everyday healthcare. I enjoy working at the interface of data science, medicine, and human-centered design, and I'm driven by the goal of translating research into practical, impactful solutions.
Led weekly Maths Circle sessions for top-achieving students, using problem-solving and collaborative exploration to deepen mathematical understanding.
Working on the improvement of a medical Computer Vision pipeline network (EczemaNet) using Deep Learning.
During my 14-week internship at Illumina, I had the opportunity to work in the Bioinformatics department as a Bioinformatician. The project I was assigned to consisted of testing and evaluating a novel variant caller algorithm that can be used in segmental duplication regions of the human genome.
• Collaborated with the IT team to implement new features for the front office. • Conducted reviews of information distributed to clients, ensuring high accuracy.