Alessandro Palmarini
Post-Bac Intern
image: Douglas Merriam
People have a remarkable ability to efficiently discover relevant abstract patterns in small amounts of nebulous experiences so as to flexibly handle novel situations and solve novel problems. Alessandro is interested in this computational problem, aspiring to develop algorithms with analogous capabilities that can generalize strongly with little experience (and priors).
Alessandro is also interested in ideas from multiple domains, including programming language theory, probabilistic machine learning, theoretical computer science, and cognitive science.
Alessandro recently received a BSc in Artificial Intelligence from The University of Edinburgh.