Leonie Bossemeyer (2nd-year PhD) is exploring how machine learning can support medical experts in mastering complex visual tasks, developing algorithms to make learning and teaching in these domains more effective. Which year of PhD are you in? 2 What is your PhD research about? I am exploring how machine learning can support medical experts in mastering challenging visual tasks. These tasks, such as radiological diagnoses and ophthalmological examinations, are critical in many medical fields and often take years to master. Instead of replacing practitioners, my research focuses on developing algorithms that make learning and teaching in these domains more effective and efficient. What motivated you to undertake doctoral study? In my time as a machine learning engineer, I worked on many short projects, usually two to three months each. I enjoyed the variety, but I often felt that the most interesting problems needed more time and space to explore. Pursuing a doctorate gave me the freedom to dive deeper and to follow research directions I find truly exciting and impactful, without being limited by economic priorities. What is a highlight (one or several) of your time as a doctoral researcher so far? So far, I have most enjoyed getting to know researchers both at the University of Edinburgh and abroad. Since machine learning, and the CDT in particular, brings together insights from many fields, the researchers I have met come from a wide range of backgrounds and offer a multitude of perspectives. Related links Leonie Bossemeyer on LinkedIn This article was published on 2025-12-11
