Clément Canonne is a Goldstine Postdoctoral Fellow at IBM Research. Prior to this, he was a Motwani Postdoctoral Fellow at Stanford University, after graduating from Columbia University in 2017, where he was advised by Rocco Servedio. His research focuses on the fields of property testing and sublinear algorithms; specifically, on understanding the strengths and limitations of the standard models in property and distribution testing, as well as in related areas. He also really likes elephants.