Dr. David H. Wolpert

David H. Wolpert, Ph.D. is Senior Computer Scientist at the NASA Ames Research Center and Consulting Professor at the Stanford University Aeronautics and Astronautics Department.
 
At NASA, David supervises and conducts academic research on probability collectives, combinatorial optimization, machine learning and statistics, complexity measures, and the the physics of information. He supervises a group that implements collective intelligence systems inside distributed computational networks. At Stanford, David supervises students in several departments on topics including adaptive distributed control and bounded rational game theory.
 
David is Associate Editor for ACM Transactions on Autonomous and Adaptive Systems, and is on the Editorial Boards of Theory in Biosciences and Journal of Economic Interaction and Coordination. He holds patents Masked proportional routing and Method for guessing the response of a physical system to an arbitrary input.
 
He edited The Mathematics Of Generalization. His papers include Remarks on a Recent Paper on the “No Free Lunch” Theorems, Computational Capabilities of Physical Systems, Distributed Control by Lagrangian Steepest Descent, Finding Bounded Rational Equilibria Part I: Iterative Focusing, Finding Bounded Rational Equilibria Part II: Alternative Lagrangians and Uncountable Move Spaces, Linearly Combining Density Estimators via Stacking, and An Efficient Method to Estimate Bagging’s Generalization Error.
 
David earned his B.A. in Physics (Cum Laude) at Princeton University in 1984 with the thesis “Filamentary structure of large scale galaxy distributions”, his M.A. in Physics at the University of California, Santa Barbara in 1987, and his Ph.D. in Physics at University of California, Santa Barbara in 1989 with the dissertation “Neural networks and generalization theory”.
 
Watch Predicting the Outcome of a Game and read Traveler’s Dilemma: When it’s smart to be dumb.