Rahul Gannamani

Rahul Gannamani

Rahul is a medical student with a passion for mathematics and big data. Since 2017 he has worked closely with the Department of Genetics (UMCG), where he learned how to apply advanced statistical techniques and present his findings in a coherent and compelling manner. He co-developed a novel method to unravel disease biology and predict new disease genes, in the context of myoclonus. He now works primarily on the NEMO project, in close collaboration with the Department of Mathematics and Computing Science (RUG). The aim of his PhD-project is to help better tell apart movement disorders, using big data approaches (machine learning and visual analytics). Rahul’s interests include digital medicine, health and wellbeing, and personalisation strategies. In his free time, Rahul is entrepreneurially active. His latest enterprise (articulateingroningen.com) is centred around helping others bring clarity to their ideas and work.

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