Research Bio
Thomas Courtade is an Associate Professor in the Electrical Engineering and Computer Sciences Department at UC Berkeley, whose research centers on information theory, statistical learning, and data privacy. He develops theoretical frameworks for understanding how information can be efficiently and securely transmitted, processed, and learned from data. His work advances connections between information theory, high-dimensional statistics, and machine learning.
Research Expertise and Interest
information theory, probability, data compression, communications, computer science
Teaching
Field Study [ELENG 197]
Supervised Independent Study [ELENG 199]
Applications of Stochastic Process Theory [ELENG 226B]
Individual Research [ELENG 299]
Random Processes in Systems [ELENG 226A]
Group Studies, Seminars, or Group Research [ELENG 298]
Individual Research [ELENG 299]
Field Studies in Electrical Engineering [ELENG 297]
Field Studies in Electrical Engineering [ELENG 297]
Optimization Models in Engineering [EECS 127]
Optimization Models in Engineering [EECS 227AT]
Field Study [ELENG 197]
Supervised Independent Study [ELENG 199]
Individual Research [ELENG 299]