Using AI to Create Social Impact
Kai Wang
Contact me: kaiwang.gua@gmail.com
Office: Gatech CODA building room S1309
My research focuses on developing artificial intelligence, machine learning, optimization, and multi-agent systems solutions to create social impact, specifically in the area of health, public health, and environmental sustainability.
Examples include assisting health workers in maternal and child health, designing AI early warning system for children’s health, sustaining wildlife conservation using game theory models, and monitoring the environmental impacts of industrialization.
My work has been recognized and supported by Schimidt Science AI2050, Siebel Scholars, NSF CISE Core Medium, and Children's Healthcare of Atlanta Pediatric Technology Center at Georgia Tech (PTC)
Interested in joining the team? Please check here for more details.
I am an Assistant Professor at Georgia Tech, School of Computational Science and Engineering. I received my Ph.D. in Computer Science from Harvard University under supervision of Professor Milind Tambe.
Research Interests
Optimization, machine learning, reinforcement learning, online learning, algorithmic game theory, multi-agent systems. Please see the following pages for more information.
Social Impact Applications
We work closely with NGOs and hospitals to design and deploy AI solutions in social impact applications. Our goal is to ensure the AI algorithms actually work in practice to create real-world impact.
