Alexandros Nathan successfully defends dissertation on methodological and applied facets of machine learning

Alexandros successfully defends his dissertation titled “Essays in Machine Learning, Social Networks and Marketing”.  He designed novel distributed optimization algorithms and investigated problems that lie at the interface of social networks, and marketing, with an emphasis on customer retention and new product adoption. His committee consisted of Noshir Contractor, Diego Klabjan, and Brian Uzzi.