Analytically minded people with unique skillsets. XDF Programme Fellows 2023 We are happy to welcome our cohort of Cross-disciplinary Fellows for 2023: Yavor Novev (background discipline: Chemistry and Chemical Engineering, Biophysics), Alina Kumukova (background discipline: Statistics) and Andrii Iakovliev (background discipline: Engineering and Computer Science) Cross-disciplinary Fellows 2023: Yavor Novev (left), Alina Kumukova (middle) and Andrii Iakovliev (right) XDF Programme Fellows 2020 Following an international competition and Interviews held in late 2019 and early 2020, the Programme Directors offered the third set of Cross-disciplinary Fellowships starting in 2020. As in previous years, the third recruitment round was very competitive with over 100 applicants from around the world and from wide variety of disciplines wishing to join the Programme. Due to the nature of the Programme and necessarily restricted financial resources only less than 3% of the candidates could be offered a position. The Cross-disciplinary Fellows admitted to the XDF Programme in 2020 are: Dr Didier Devaurs (background discipline: computer science), Dr Lucy Martin (background discipline: particle physics) and Dr Michael Nicholson (background discipline: mathematics). Dr Martin and Dr Nicholson are supported by CRUK Brain Tumour Centre of Excellence award. XDF Programme Fellows 2020: Dr Lucy Martin (left), Dr Didier Devaurs (middle) and Dr Michael Nicholson (right). XDF Programme Fellows 2019 Following an international competition and Edinburgh Interviews held on the 7th & 14th of May 2019, the Programme Directors offered the second set of Cross-disciplinary Fellowships starting in 2019. As was the case for the first recruitment round in 2018, the second recruitment round was highly competitive with over 80 applicants from around the world and from a broad spectrum of scientific disciplines wishing to join the Programme. Due to the nature of the Programme and necessarily restricted financial resources only 4% of the candidates could be offered a position. The Cross-disciplinary Fellows admitted to the XDF Programme in 2019 are: Dr Lyndsay Kerr (background discipline: mathematics), Dr Eric Latorre Crespo (background discipline: mathematics), Dr Vanessa Smer Barreto (background discipline: cosmology). XDF Programme Fellows 2019: Dr Vanessa Smer Barreto (top left), Dr Lyndsay Kerr (top right), Dr Eric Latorre Crespo (bottom left). XDF Programme Fellows 2018 Following an international competition and Edinburgh Interviews held on the 15th & 24th of May 2018, the Programme Directors offered the first set of Cross-disciplinary Fellowships starting in 2018. Recruitment was highly competitive with over 80 applicants from around the world and from a broad spectrum of scientific disciplines wishing to join the Programme. Due to the nature of the Programme and necessarily restricted financial resources only 6% of the candidates could be offered a position. The Cross-disciplinary Fellows admitted to the XDF Programme in 2018 are: Dr Andrew Papanastasiou (background discipline: particle physics), Dr Chantriolnt-Andreas Kapourani (background discipline: computer science), Dr Mattia Marenda (background discipline: physics), Dr Ava Khamseh (background discipline: particle physics). XDF Programme Fellows 2018: Dr. Andrew Papanastasiou (top left), Dr Chantriolnt-Andreas Kapourani (top right), Dr Mattia Marenda (bottom left), Dr Ava Khamseh (bottom right). XDF Programme Fellowships: Video The XDF programme is unique in providing a well-structured training year, during which I can make the transition from physics to biomedicine and define the direction I want my future research to take. The way in which the programme is structured to ensure a cross-pollination of ideas between the IGC and Informatics makes this a truly interdisciplinary position and one which I am hugely excited about working in. I hope to gain biological knowledge and medical-application experience that, combined with my analytical and technical background, will enable me to become an expert in data-driven approaches to biomedical problems. Above all, my ambitions are that my research has direct and positive knock-on effects not only on the fundamental research performed at the IGC, but importantly to also lead to more effective treatments for patients. Dr Andrew Papanastasiou Cross-Disciplinary Fellow The IGC is one of the biggest biomedical research establishments in the UK with high quality data and important biological questions. The diversity of IGC, where experimental, clinical, and computational research groups are placed in the same building, creates a collaborative and supportive atmosphere, which I believe to be really important for my development as an XDF Post-Doc Fellow. The XDF programme and partnership between the IGC and the School of Informatics is extremely beneficial. It will allow me to establish collaborations with pioneers in both fields and work directly on pressing biological problems while at the same time developing computational models that can advance the field. Being an XDF Fellow will provide me with a dynamic and challenging environment from which I can build a successful academic career. Dr Chantriolnt-Andreas Kapourani Cross-Disciplinary Fellow The IGC is an institute where biologists consider it necessary and important to work alongside physicists, mathematicians and computer scientists. This programme is a unique opportunity for a mathematically-minded scientist to direct his research on biomedical problems and people’s health. My ambition is to become a complete interdisciplinary and independent scientist. I want to be able to combine theoretical, computational and experimental expertise to develop original projects directed to biomedical research. Dr Mattia Marenda Cross-Disciplinary Fellow The XDF programme provides opportunities to train in biology via lectures and rotation projects, very important given that I come from a different background – I have a PhD in Theoretical Particle Physics. The programme will allow me to learn how to apply quantitative skills from physics and mathematics to biology. I particularly hope to train in cancer biology and learn how to apply mathematical and computation skills to real biological data. Dr Ava Khamseh Cross-Disciplinary Fellow This article was published on 2022-10-03
