Alex Edmonds (he/him)

Alex is a postdoctoral researcher, whose research has focused on differential privacy, a framework for designing statistical estimation and machine learning algorithms with robust privacy guarantees. More generally, Alex is interested in how strategic constraints on the flow of information can produce useful algorithmic properties. These include learning from data without copying, generalizing to unseen examples, and producing meaningful representations of data.