Golestan Karami

Golestan Karami is an accomplished applied machine learning researcher currently employed at Genomics England, where responsibilities include designing and implementing data workflows using AWS SageMaker and developing advanced models with various machine learning frameworks. Simultaneously, Golestan serves as a visiting research associate at King’s College London, focusing on creating a radiogenomics panel to enhance treatment protocols for glioblastoma patients through machine learning approaches. Previous roles include positions at major institutions such as Università degli Studi 'Gabriele d’Annunzio' di Chieti, Leiden University Medical Center, Universidade de São Paulo, Kermanshah University of Medical Sciences, and Tehran University of Medical Sciences, covering diverse responsibilities in machine learning, MRI physics, and research methodology. Educational qualifications encompass a PhD in Neuroscience and Neuroimaging from Università degli Studi 'Gabriele d’Annunzio' di Chieti, a PhD in Applied Physics in Medicine and Biology from Universidade de São Paulo, and a Master's Degree in Medical Physics from Tehran University of Medical Sciences.