Current research endeavors involve estimation of information-theoretic quantities using generative models and variational bounds, establishing theoretical frameworks for deep learning, learning-aided source and channel code construction, and machine learning for wireless communications.
Background
Research interests include information theory, deep learning, coding theory, and wireless communications.
Miscellany
The lab is currently recruiting highly motivated Ph.D. students and postdocs!