Eric Blais is a Simons Postdoctoral Fellow in the Theory of Computing group at MIT. He graduated from Carnegie Mellon University in 2012; his advisor was Ryan O'Donnell. His research interests include the complexity of Boolean functions and sublinear algorithms.

Li-Yang Tan is a Ph.D. student at Columbia University, where he is fortunate to be advised by Rocco Servedio. His research interests lie in complexity theory, with a focus on discrete Fourier analysis, the complexity of Boolean functions, and computational learning theory.