Summary
Michael Berks is a research associate in medical image analysis at the University of Manchester with over a decade of post-PhD experience in quantitative biomedical imaging. He completed a PhD on statistical models for synthesising the appearance of mammographic masses and has since led projects developing state-of-the-art nailfold capillaroscopy imaging systems in the Quantitative Biomedical Imaging Lab. Equally comfortable with theory and applied system development, he brings a strong MSci background in Mathematics and Computer Science from Imperial College London. His work combines statistical modelling, image analysis and instrumentation, and he has maintained a long-term academic trajectory at a single institution, which has enabled deep domain knowledge and continuity across multiple clinical imaging projects. Notably, he transitioned from early mammographic simulation research to leading hardware-plus-software imaging system development, reflecting both breadth and practical impact.
11 years of coding experience
High School, Mathematics, Further Mathematics, Physics, Chemistry, General Studies, 5 A's, High School, Mathematics, Further Mathematics, Physics, Chemistry, General Studies, 5 A's at Hills Road Sixth Form College
MSci Joint Mathematics and Computer Science, Mathematics and Computer Science, First class, MSci Joint Mathematics and Computer Science, Mathematics and Computer Science, First class at Imperial College London