Professor Wang is interested in applying math tools such as algebra, combinatorics, calculus, and probability theory to information theory and coding theory. Particular topics he has worked on include polar codes (wireless communication), group testing (with many downstream applications including heavy hitters, compressed sensing, and multiple access channels), regenerating codes (cloud storage), distributed matrix multiplication (cloud computation), DNA digital data storage (long-term high-density storage), differential privacy (privacy for sparse data), exact distribution shaping (randomized algorithms), and pessimistic cardinality estimation (database optimization).