Kai Wang

Kai Wang is an Assistant Professor at Georgia Tech's School of Computational Science and Engineering. He holds a Ph.D. in Computer Science from Harvard University, advised by Professor Milind Tambe. His research bridges AI, machine learning, optimization, and multi-agent systems to address societal challenges in healthcare, public health, and environmental sustainability. Key projects include maternal and child health support systems, wildlife conservation via game theory models, and industrial environmental monitoring.

Education:

• Ph.D. in Computer Science, Harvard University (Advisor: Prof. Milind Tambe)

Research Interests focus on Optimization, Reinforcement Learning, Multi-Agent Systems, Algorithmic Game Theory, and their applications in real-world impact scenarios. His work emphasizes practical deployments with NGOs and healthcare institutions to ensure tangible societal benefits.

Major Recognition:

• Siebel Scholars
• Schmidt Science AI2050 Fellowship
• NSF CISE Core Medium Grant
• Children's Healthcare of Atlanta PTC Support

Advising & Grants: Active in mentoring students and leading projects funded by NSF and industry collaborations. Collaborates closely with hospitals and NGOs to deploy AI solutions in social impact domains.

Labs/Teams: Leverages interdisciplinary teams to integrate theoretical AI advancements with field-deployable systems, prioritizing real-world efficacy over purely academic outcomes.