My research is driven by the following intriguing question: how can we establish, maintain and regulate the interactions between humans and agents (e.g., machines, and humans) for desired outcomes? A critical step toward answering this question is to understand principles and structures of multi-agent interactions at scale. To this end, I delve into the interdisciplinary research that spans human-agent interaction, multi-agent systems, game theory, reinforcement learning , decision theory and network science. My current work focuses on: (1) resilient mechanism design, and its application to online platforms and networks where agents may not be able to obtain perfect rationality; and (2) strategic diffusion in large-scale networks with application to advertisement, auctions, and cybersecurity. Typical methodologies include information design, mechanism design, social influence network theory, learning and optimization in sequential decision making, and multi-agent simulation.