• Identify and evaluate empirical datasets and use them to enrich the synthetic population to enable new use cases, including through adding new individual attributes and detailed social networks. • Utilize simulation techniques, including ABMs, to project future demographic trends. • Improve the geographical plausibility of synthetic environments, ensuring realistic placement of homes, workplaces, schools, and other points of interest (e.g., along roads, close to real world population centers). • Expand the geographical region covered by the Epistemix synthetic population, with the goal of creating a fully integrated and consistent representation of the global population. • Create visualizations for marketing and productizing synthetic populations. • Develop innovative methods for supporting external users in augmenting Epistemix synthetic populations with their own proprietary data. • Work with external vendors and marketplaces to expand the ecosystem of data providers that can be integrated with the synthetic population. • Support the synthetic populations team in engaging with customer success, professional services, and engineering teams to understand project specific synthetic population requirements.