Summary
I am a Teaching Fellow in Health Economics and Machine Learning at Imperial's School of Public Health.
My academic background is in Health Services Management (B.Sc.) from the University of Antioquia in Colombia and Health Economics and Policy (M.Sc.) from the University of Turin in Italy. In the past, I joined the Turin Longitudinal Study (Italy), the University of Lausanne (Switzerland), and the International Development Research Centre IDRC (Canada), where I contributed to data analytics in health financing, inequality, and health systems.
I joined Imperial College in 2020 as a PhD student in Clinical Medicine Research in the Department of Epidemiology and Biostatistics at the School of Public Health and MRC Environment and Health (Molecular Signature and Disease Pathways Group). My research focuses on mechanistic studies to test links between exposures, non-communicable disease pathways, and life course (Exposome). I hope my research achieves an understanding of the early-life exposome of cardiometabolic diseases (hypertension, diabetes, and obesity) and accelerated biological ageing.
I enjoy using data processing, statistical analysis, model accuracy, data visualisation skills, understanding regression models, and learning to apply them to real-world problems.