Tsiropoulou works on game theory and reinforcement learning for decision making in complex systems, with emphasis on network modeling and optimization, resource management, network economics, and Internet of Things.

Earley’s research is driven by a fascination with the molecular approach to quantum information sciences, particularly in understanding the molecular intricacies of optically-addressable qubits systems.

First-year PhD student in Public Administration and Policy, interested in environmental, energy, and tech policy and related administrative issues. He is also interested in quantitative and computational methodologies.