Rocco A. Servedio

Rocco A. Servedio is a Professor of Computer Science at Columbia Engineering, Columbia University. His research focuses on computational learning theory and computational complexity, particularly on designing efficient algorithms for learning problems involving noisy data and complex target functions.

• Education:
  • A.B. in Mathematics, Harvard University
  • Ph.D. in Computer Science, Harvard University

His work also explores low-level computational models like decision trees, shallow circuits, and low-degree polynomials. Research funding is provided by DARPA, Google, and the National Science Foundation.

• Scientific Awards:
  • NSF Career Award
  • Sloan Foundation Fellowship

He is affiliated with the Foundations of Data Science Committee and previously held an NSF Mathematical Sciences postdoctoral position at Harvard University.