We are excited to announce our 2024 cohort, which includes three exceptional trainees from diverse disciplines and backgrounds. Each trainee brings valuable experience, and we invite you to explore their backgrounds and experiences below!
Joshua Rosen
Begin Date: Fall 2023
Discipline: Public Policy and Urban Affairs
PhD Advisor: Prof. Dan O’Brien
Research Interest: Complex systems, causal inference, and harnessing big data for empirical applications in urban economics
Mahnaz Vahdat
Begin Date: Summer 2024
Discipline: Interdisciplinary Engineering
PhD Advisor: Prof. Michael Kane
Research Interests: Data Science, Big Data, Machine Learning
Christopher Curtis
Begin Date: Fall 2023
Discipline: Computer Science
PhD Advisor: Prof. Saiph Savage
Research Interests: Large Language Models, Data Science, Machine Learning, AI-based tools for gig workers
Jeffrey Gleason
Begin Date: Fall 2021
Discipline: Computer Science
PhD Advisor: Prof. Yakov Bart
Research Interests: Computational social science, governance of online platforms, design of experiments, observational causal inference
Erik Weis
Begin Date: Fall 2024
Discipline: Network Science
PhD Advisor: Brennan Klein
Research Interests: Complex systems, network science, statistical inference, digital tools for collective-decision making and policy deliberation.