Transdisciplinary Research Institute for Advancing Data Science (TRIAD)

Transdisciplinary Research Institute for Advancing Data Science (TRIAD)
Xiaoming Huo, Director
 

The Transdisciplinary Research Institute for Advancing Data Science (TRIAD) integrates research and education in mathematical, statistical, and algorithmic foundations for data science. Funded by the National Science Foundation as part of their TRIPODS program, it is based at Georgia Tech and includes members from the School of Mathematics, the College of Computing, the School of Industrial and Systems Engineering, the School of Electrical and Computer Engineering, and many more.

TRIAD integrates research and education in mathematical, statistical, and algorithmic foundations for data science. Analysis of massive, dynamic, noisy and complex data arising in virtually every sphere of human activity is a pressing challenge of our times. TRIAD addresses the growing challenges in establishing the foundations of data science, much of which lies at the intersection of computer science, statistics, and mathematics. TRIAD's intellectual focus is to design and build transdisciplinary research programs that provide an enabling and cross-fertilizing platform of ideas and stake holders, including theoreticians and scientists from domain sciences and users of technology. TRIAD hosts focused working groups, national and international workshops, and organized innovation labs.

 

 

TRIAD Executive Director Xiaoming Huo with Co-Principal Investigators Srinivas Aluru, Dana Randall, and Jeff Wu. Not pictured: Prasad Tetali.

 

Visit the TRIAD website