Data science is the art of analyzing and extracting knowledgeable information and relationships from data, and subsequently using the information to model new or altered processes. It utilizes programming, mathematics and statistics to optimize processes for economic and safety efficiency.
Faculty Research Interests
Weihsueh Chiu
T32 Preceptor & Externship Coordinator
Computational and statistical methods to transform data into knowledge used to protect public health, predicting the human health effects of environmental chemicals
Efstratos N. Pistikopoulos
T32 Preceptor
Fundamental theory and optimization based methodologies and computational tools that enable process engineers to analyze, design and evaluate process manufacturing systems which are economically attractive, energy efficient and environmentally benign, while at the same time exhibit good performance characteristics like flexibility, controllability, robustness, reliability and safety.
Alexei V. Sokolov
Laser physics, nonlinear optics, ultrafast science and spectroscopy, applications of molecular coherence to quantum optics