Data & Information Science

Data & Information Science

 

Matrix of varied orange blocks

How does Netflix learn about your taste in movies? How can HD video be compressed and sent over an LTE network to your phone? How are medical images acquired and analyzed to diagnose diseases? How does the computer program like AlphaGo beat a human professional Go player?  These are some of the questions that drive the exciting research on data, information, networks, communication.

At Princeton, we derive answers to these questions using the intriguing language of mathematics and engineer our solutions into products we use every day. This work benefits from many decades of intellectual heritage in information and data science, and in turn guides the future evolution of information technology and data science. Graduate education in information sciences and systems emphasizes breadth and fundamentals in probability, systems, statistics, optimization, and machine learning.  Our research focuses on principles and underlying theories exemplified by theoretical machine learning, optimization, information theory, statistics, signal, image and video processing, control and reinforcement learning, coding theory, data transmission and compression, and network science.

Faculty

Maria Apostolaki
Visiting Research Scholar
Carnegie Mellon University, Postdoctoral Researcher
Yasaman Ghasempour
Assistant Professor of Electrical and Computer Engineering
Andrea Goldsmith
Arthur LeGrand Doty Professor of Electrical and Computer Engineering
Dean of the School of Engineering and Applied Science
Niraj Jha
Professor of Electrical and Computer Engineering
Director of Graduate Studies
Chi Jin
Assistant Professor of Electrical and Computer Engineering
Sanjeev R. Kulkarni
William R. Kenan Jr. Professor of Electrical Engineering
Sun-Yuan Kung
Professor of Electrical and Computer Engineering
Jason D. Lee
Assistant Professor of Electrical and Computer Engineering
Ruby Lee
Forrest G. Hamrick Professor in Engineering
Prateek Mittal
Associate Professor of Electrical and Computer Engineering
Director of Undergraduate Studies
H. Vincent Poor
Michael Henry Strater University Professor
Peter J. Ramadge
Gordon Y.S. Wu Professor of Engineering
Director of the Center for Statistics and Machine Learning
Pramod Viswanath
Visiting Research Scholar
University of Illinois at Urbana-Champaign, Professor
Mengdi Wang
Associate Professor of Electrical and Computer Engineering and the Center for Statistics and Machine Learning