Dr. Daniel Himmelstein is a Postdoctoral Fellow in the Greene Lab at the University of Pennsylvania.
He is a data scientist who teaches computers about human disease and pioneered the field of hetnets — a term he coined in biology for networks with many types of relationships.
He released Hetionet — a hetnet that integrates the collective knowledge produced by millions of studies over the last half century — and is applying it to predict new uses for existing drugs.
Editor's Note: This presentation was given by Daniel Himmelstein at GraphConnect San Francisco in October 2016. Summary Himmelstein started his PhD research with the question: How do you teach a computer biology? He found the answer in a heterogenous network (a.k.a., "HetNet"), which turned... read more
