Computational eXtended Immersive Intelligence Lab

(Julia) Hua Fang, Ph.D, Professor, PI of Computational eXtended Immersive Intelligence (CIXI) lab

The Computational eXtended Immersive Intelligence (CIXI) lab, evolved from Computational Statistics and Data Science (CSDS) lab, aims at developing computational methods, intelligent tools, systems, real-world data and simulation platforms for broader health and behavior studies by integrating and advancing the theories and AI applications of machine learning and computer graphics. The CIXI team includes computational statisticians and mathematicians, computer scientists and computer engineers. Research collaborators include health professionals, basic scientists, and health service researchers in psychiatry, behavior medicine, emergency medicine, immunology, infectious diseases and health care system. CIXI lab is also collaborating with AI, IoT and Multimedia (AIM) Research Lab. Example projects can be found here. 

Computational Statistics and Data Science 

(Julia) Hua Fang, Ph.D, Professor, PI of Computational Statistics and Data Science (CSDS) lab

The Computational Statistics and Data Science (CSDS) lab aims at developing computational methods, tools and systems for broader health and behavior studies by integrating and advancing the theories and applications of computational statistics, which is a computational science at the interface of statistics and computer science.  The CSDS team includes computational statisticians, computer scientists and computer engineers. Our research collaborators include health professionals, basic scientists, and health service researchers in psychiatry, behavior medicine, emergency medicine, immunology, infectious diseases and health care system. CSDS lab is also collaborating with IoT and Data Engineering Lab, and UConn Center for mHealth and Social Media.