Jiani is a computational social scientist specialising in the study of health disparities in mortality and morbidity, leveraging machine learning, deep learning algorithms, and explainable Artificial Intelligence. Her particular emphasis is on health-related issues concerning the aging population, and she is keen on unravelling the influence of social determinants on health outcomes to expose health inequalities. This understanding assists in proposing prevention-oriented policies, thereby bridging the health inequality gap.
Jiani earned her first Master’s degree in Financial Economics with distinction from the University of Birmingham. She also holds an MPhil degree in Sociology and Demography with merit from the University of Oxford. Jiani was honoured with the Economic and Social Research Council (ESRC) award on the Advanced Quantitative Method pathway. She is now supervised by Dr. Charles Rahal and Prof. Ridhi Kashyap. Jiani is an affiliated PhD candidate at both the Lab of Digital and Computational Demography at the Max Planck Institute for Demographic Research (MPIDR) in Rostock and the ESRC Centre for Care.