Dr. Paul Cohen

Dr. Paul Cohen is a mathematician best known for his work in computational complexity theory, particularly for resolving the P vs. NP problem—a fundamental question about the limits of efficient problem-solving. In 2000, he proved that certain problems cannot be quickly verified, which has significant implications for computer science, cryptography, and algorithms. His findings help us understand which problems are inherently difficult to solve efficiently, shaping our approach to computing tasks. Cohen’s work is considered a major contribution to theoretical computer science, advancing our knowledge of the fundamental capabilities and limitations of computing systems.