Michaelis Vasiliadis

Country: Greece, United Kingdom
Subject of study: Medical Sciences with Professional Training Year (Human Genomics pathway)
Year of graduation: 2022
Type/Level of study: Undergraduate

What did you enjoy most about your degree programme?

I enjoyed the great balance struck between theory-based lectures on both medical and broader biological science and the practical-based elements, such as wet lab and computer practicals which gave me the opportunity to apply knowledge gained from lectures to real-world scientific questions.

What was the highlight of your time at Exeter?

 Probably presenting my final year research project to my supervisors’ research group. More so than the assessed presentation delivered previously, during this particular session I loved the feeling of showcasing research findings derived from my own processing and analysis of genomic data to a group of experts in the field. This truly was the perfect culmination of the work conducted throughout my final year and will remain special to me as the first time I genuinely and thoroughly enjoyed giving a PowerPoint presentation.

What will you miss the most about University?

I will have to say the support that is readily available and accessible regarding most difficulties that a student might experience during this sometimes hectic and busy part of adult life. From the career advice support to wellbeing drop ins and appointments, as a student we are usually just an e-mail away from accessing such useful support systems.

What advice would you give to current and future students? (If you are an international student what would you like to tell future students from back home who might be thinking about applying to study in Exeter?)

 Follow your interests in any course-related decisions you make and don’t worry if you haven’t found one particular thing you are especially interested in, just go with what sounds the most fascinating at that time.

What are your plans now that you have graduated?

I will be starting my master’s in Health Data Analytics and Machine Learning at Imperial College London in October to further my training and experience in statistical and computational biology.