Sara Ahmadi Abhari
About Sara Ahmadi Abhari
Sara Ahmadi Abhari serves as the Chief Scientific Officer at Medsien and is a Lecturer in the Epidemiology of Ageing at Imperial College London. With a background in medicine and epidemiology, she specializes in public health research, particularly in dementia and disability.
Work at Medsien
Sara Ahmadi Abhari serves as the Chief Scientific Officer at Medsien since 2018. In this role, she leads scientific initiatives and oversees research activities. Her responsibilities include applying advanced biostatistical techniques and machine learning methods to enhance research outcomes. Abhari's expertise contributes to the development of evidence-based policies in public health.
Current Role at Imperial College London
Since 2018, Sara Ahmadi Abhari has been a Lecturer (Assistant Professor) in the Epidemiology of Ageing at Imperial College London. Her academic role involves teaching and conducting research focused on the epidemiology of ageing. She engages in projects that aim to understand the public health implications of ageing populations.
Education and Expertise
Sara Ahmadi Abhari completed her medical degree (MD) at Tehran University of Medical Sciences from 2000 to 2007. She furthered her education at the University of Cambridge, where she earned an MPhil and PhD in Epidemiology between 2009 and 2014. Her educational background provides a strong foundation for her research in public health, particularly in the areas of dementia and disability.
Background in Public Health
Sara Ahmadi Abhari gained valuable experience in public health while working as a programme associate for the Global Fund to Fight AIDS, Tuberculosis and Malaria (GFATM) at the United Nations Development Programme. This role allowed her to understand public health priorities and challenges, which informs her current research and consultancy work.
Research Focus and Achievements
Sara Ahmadi Abhari's research focuses on novel biological pathways leading to dementia. She employs multi-modal analysis of genetic, fluid biomarker, and neuroimaging data. Abhari has initiated a line of research on public health Markov modelling to forecast the future burden of dementia and disability, contributing to the understanding of public health interventions.