Summary
Sara Summerton is a Lecturer in Artificial Intelligence and PhD researcher specializing in classification and outlier detection on irregularly sampled multivariate time series, with a strong focus on supervised and unsupervised learning for healthcare data. Over eight years she has built practical expertise across ECG, PCG, wearable and hospital ward data, combining research with taught module design and delivery under a PGRTA scholarship at the University of Manchester. Her background in mathematics and physics, international experience across five countries and three languages, and industry internships (including IBM and EPFL) give her a rare mix of theoretical depth, production-minded software skills and cross-cultural communication. She runs an academic journal club, serves as postgraduate student rep, and is a consistent hackathon competitor—demonstrating both community leadership and a knack for rapid prototyping that has translated into measurable software performance gains in past projects.
8 years of coding experience
1 year of employment as a software developer
BSc (Hons) Mathematics and Physics, BSc (Hons) Mathematics and Physics at The University of Manchester
Foundation Year, Special Mathematics, Foundation Year, Special Mathematics at EPFL
Cherry Creek High School
French, Chinese