Research Overview
My research studies how information shapes decision making in strategic environments and leverages on tools from game theory, online learning, and control
theory. Broadly, my thesis research has two distinct but related thrusts:
- Applications of information design: I model natural occuring strategic communication scenarios in domains like electricity-markets, human-robot interaction and media coverage,
through the lens of information design. While showcasing the versatility of inforamtion design techniques, these applications also highlight the challenges associated with their practical implementation.
- Learning in information design setups: Classical information design methods assume that the sender knows the receiver’s utility structure. In the second thrust of my thesis research, I develop learning-based strategies
that allow a sender to infer receiver responses from interaction data. In doing so, I address various practical challenges associated with learning in information design setups e.g. credibility concerns about the sender,
presence of side-infromation, biases in how receivers interpret shared information and more.
