
Priyansha is a student in Social Data Science interested in applying complex network analysis and machine learning to decision-relevant research. Her areas of interest include meta-science, health, technology adoption and proliferation, economic connectivity, and system fragility and explainability of such models.
Before pursuing her MSc in Social Data Science, Priyansha’s work centered on sustainability, development economics, and global health. She holds a BA (Hons) in Sociology and Anthropology from Ashoka University and has completed a MicroMasters in Data, Economics, and Development Policy from MITx.
Complex Networks, Machine Learning, Meta-science, Healthcare, Technology Adoption, Economic Connectivity, System Fragility, Counterfactual Explainability.