MDI is pleased to host a group of postdoctoral and policy fellows each academic year. Fellowships are advanced scholarly appointments for one or more academic years. Fellows engage in advanced independent and/or directed research with colleagues at the Massive Data Institute. In addition, fellows lead or participate in several data-oriented workshops and academic conferences at Georgetown and at partner institutions. As junior scholars in their field, fellows contribute to the intellectual life of the McCourt School and help build relationships across disciplines and departments within the University.
Le (he/him) works with the Environmental Impact Data Collaborative (EIDC) team and the Measuring Online Social Attitudes and Information Collaborative (MOSAIC) team. He uses statistical and computational methods to study political behavior and environmental politics.
explore his work hereJames (he/him) works with the Executive Director and the Institute’s distinguished fellows on projects which explore how technology law and policy can advance justice in the world. These projects include the Civil Justice Data Commons, the institute’s academic programs and educational events, and research into cutting-edge policy problems.
explore his work hereChris (he/him) is the founder of Demographic Analytics Advisors and a Senior Fellow at Georgetown University’s Massive Data Institute. In both roles, he helps organizations to create effective change using data and data science. His goal is to understand the recipe for data science success and implement it within the government space.
explore his work hereRupayan (he/him) is a Postdoctoral Fellow working with MDI and the Department of Computer Science. His research interests include Generative AI, Explainable AI, and Multimodal Learning. Rupayan is currently exploring the generative models of deep learning such as diffusion models for different data modalities.
Helge (he/him) is a Postdoctoral Fellow working with MDI and ISIM on computational social science methods, focusing on forced migration using organic data.
explore his work hereStephanie (she/her) facilitates the linking of previously un-linked datasets to inform pressing policy issues across education, public health, and the civil justice system. Stephanie also advocates for secure data governance models that address the legal and regulatory risks involved with data sharing.
explore her work hereNathan (he/him) is a Data Science Fellow working with MDI on variational Bayesian methodology applied to forced migration around the world and differentially private synthetic data techniques applied to government data.
explore his work hereMDI is launching a new type of fellowship that allows individuals to contribute to the technology and policy conversation taking place at MDI.
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