Dr. Schneider is interested in active learning algorithms for efficiently controlling the experimental process during the creation and fitting of biological models. He believes appropriate selection algorithms will yield an order of magnitude improvement in the model discovery process. His previous efforts in this area have focused on in vivo CNS drug discovery.
