Temitope Eyinla

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Temitope Eyinla is a PhD student in the MU Institute for Data Science and Informatics with an emphasis in health informatics. He plans to explore causal inference methods, particularly target trial emulation, and their applications to epidemiology and biomedical data, with a focus on chronic disease management and public health challenges such as cancer screening. Temitope holds a Bachelor’s in Mathematics from Adekunle Ajasin University, Nigeria, and an MSc. in Applied and Computational Mathematics and Statistics from the University of Notre Dame, USA. He brings over six years of experience in Data Analytics, with two years in the healthcare sector. Outside of academics, he enjoys exploring new African dishes, playing soccer, and listening to music.